{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "716bc3c3",
   "metadata": {
    "tags": [
     "pdf-title"
    ]
   },
   "source": [
    "# Multiclass Support Vector Machine exercise\n",
    "\n",
    "*Complete and hand in this completed worksheet (including its outputs and any supporting code outside of the worksheet) with your assignment submission. For more details see the [assignments page](http://vision.stanford.edu/teaching/cs231n/assignments.html) on the course website.*\n",
    "\n",
    "In this exercise you will:\n",
    "    \n",
    "- implement a fully-vectorized **loss function** for the SVM\n",
    "- implement the fully-vectorized expression for its **analytic gradient**\n",
    "- **check your implementation** using numerical gradient\n",
    "- use a validation set to **tune the learning rate and regularization** strength\n",
    "- **optimize** the loss function with **SGD**\n",
    "- **visualize** the final learned weights\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "c26545ee",
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The autoreload extension is already loaded. To reload it, use:\n",
      "  %reload_ext autoreload\n"
     ]
    }
   ],
   "source": [
    "# Run some setup code for this notebook.\n",
    "import random\n",
    "import numpy as np\n",
    "from cs231n.data_utils import load_CIFAR10\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# This is a bit of magic to make matplotlib figures appear inline in the\n",
    "# notebook rather than in a new window.\n",
    "%matplotlib inline\n",
    "plt.rcParams['figure.figsize'] = (10.0, 8.0) # set default size of plots\n",
    "plt.rcParams['image.interpolation'] = 'nearest'\n",
    "plt.rcParams['image.cmap'] = 'gray'\n",
    "\n",
    "# Some more magic so that the notebook will reload external python modules;\n",
    "# see http://stackoverflow.com/questions/1907993/autoreload-of-modules-in-ipython\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "61b6ac9f",
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "source": [
    "## CIFAR-10 Data Loading and Preprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "cee609dd",
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Clear previously loaded data.\n",
      "Training data shape:  (50000, 32, 32, 3)\n",
      "Training labels shape:  (50000,)\n",
      "Test data shape:  (10000, 32, 32, 3)\n",
      "Test labels shape:  (10000,)\n"
     ]
    }
   ],
   "source": [
    "# Load the raw CIFAR-10 data.\n",
    "cifar10_dir = '../Dataset/CIFAR10'\n",
    "\n",
    "# Cleaning up variables to prevent loading data multiple times (which may cause memory issue)\n",
    "try:\n",
    "   del X_train, y_train\n",
    "   del X_test, y_test\n",
    "   print('Clear previously loaded data.')\n",
    "except:\n",
    "   pass\n",
    "\n",
    "X_train, y_train, X_test, y_test = load_CIFAR10(cifar10_dir)\n",
    "\n",
    "# As a sanity check, we print out the size of the training and test data.\n",
    "print('Training data shape: ', X_train.shape)\n",
    "print('Training labels shape: ', y_train.shape)\n",
    "print('Test data shape: ', X_test.shape)\n",
    "print('Test labels shape: ', y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "4fa14d3f",
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x800 with 70 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize some examples from the dataset.\n",
    "# We show a few examples of training images from each class.\n",
    "classes = ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\n",
    "num_classes = len(classes)\n",
    "samples_per_class = 7\n",
    "for y, cls in enumerate(classes):\n",
    "    idxs = np.flatnonzero(y_train == y)\n",
    "    idxs = np.random.choice(idxs, samples_per_class, replace=False)\n",
    "    for i, idx in enumerate(idxs):\n",
    "        plt_idx = i * num_classes + y + 1\n",
    "        plt.subplot(samples_per_class, num_classes, plt_idx)\n",
    "        plt.imshow(X_train[idx].astype('uint8'))\n",
    "        plt.axis('off')\n",
    "        if i == 0:\n",
    "            plt.title(cls)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "1038ec4f",
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train data shape:  (49000, 32, 32, 3)\n",
      "Train labels shape:  (49000,)\n",
      "Validation data shape:  (1000, 32, 32, 3)\n",
      "Validation labels shape:  (1000,)\n",
      "Test data shape:  (1000, 32, 32, 3)\n",
      "Test labels shape:  (1000,)\n"
     ]
    }
   ],
   "source": [
    "# Split the data into train, val, and test sets. In addition we will\n",
    "# create a small development set as a subset of the training data;\n",
    "# we can use this for development so our code runs faster.\n",
    "num_training = 49000\n",
    "num_validation = 1000\n",
    "num_test = 1000\n",
    "num_dev = 500\n",
    "\n",
    "# Our validation set will be num_validation points from the original\n",
    "# training set.\n",
    "mask = range(num_training, num_training + num_validation)\n",
    "X_val = X_train[mask]\n",
    "y_val = y_train[mask]\n",
    "\n",
    "# Our training set will be the first num_train points from the original\n",
    "# training set.\n",
    "mask = range(num_training)\n",
    "X_train = X_train[mask]\n",
    "y_train = y_train[mask]\n",
    "\n",
    "# We will also make a development set, which is a small subset of\n",
    "# the training set.\n",
    "mask = np.random.choice(num_training, num_dev, replace=False)\n",
    "X_dev = X_train[mask]\n",
    "y_dev = y_train[mask]\n",
    "\n",
    "# We use the first num_test points of the original test set as our\n",
    "# test set.\n",
    "mask = range(num_test)\n",
    "X_test = X_test[mask]\n",
    "y_test = y_test[mask]\n",
    "\n",
    "print('Train data shape: ', X_train.shape)\n",
    "print('Train labels shape: ', y_train.shape)\n",
    "print('Validation data shape: ', X_val.shape)\n",
    "print('Validation labels shape: ', y_val.shape)\n",
    "print('Test data shape: ', X_test.shape)\n",
    "print('Test labels shape: ', y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "649cc971",
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training data shape:  (49000, 3072)\n",
      "Validation data shape:  (1000, 3072)\n",
      "Test data shape:  (1000, 3072)\n",
      "dev data shape:  (500, 3072)\n"
     ]
    }
   ],
   "source": [
    "# Preprocessing: reshape the image data into rows\n",
    "X_train = np.reshape(X_train, (X_train.shape[0], -1))\n",
    "X_val = np.reshape(X_val, (X_val.shape[0], -1))\n",
    "X_test = np.reshape(X_test, (X_test.shape[0], -1))\n",
    "X_dev = np.reshape(X_dev, (X_dev.shape[0], -1))\n",
    "\n",
    "# As a sanity check, print out the shapes of the data\n",
    "print('Training data shape: ', X_train.shape)\n",
    "print('Validation data shape: ', X_val.shape)\n",
    "print('Test data shape: ', X_test.shape)\n",
    "print('dev data shape: ', X_dev.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "a8304a26",
   "metadata": {
    "tags": [
     "pdf-ignore-input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[130.64189796 135.98173469 132.47391837 130.05569388 135.34804082\n",
      " 131.75402041 130.96055102 136.14328571 132.47636735 131.48467347]\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 400x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(49000, 3073) (1000, 3073) (1000, 3073) (500, 3073)\n"
     ]
    }
   ],
   "source": [
    "# Preprocessing: subtract the mean image\n",
    "# first: compute the image mean based on the training data\n",
    "mean_image = np.mean(X_train, axis=0)\n",
    "print(mean_image[:10]) # print a few of the elements\n",
    "plt.figure(figsize=(4,4))\n",
    "plt.imshow(mean_image.reshape((32,32,3)).astype('uint8')) # visualize the mean image\n",
    "plt.show()\n",
    "\n",
    "# second: subtract the mean image from train and test data\n",
    "X_train -= mean_image\n",
    "X_val -= mean_image\n",
    "X_test -= mean_image\n",
    "X_dev -= mean_image\n",
    "\n",
    "# third: append the bias dimension of ones (i.e. bias trick) so that our SVM\n",
    "# only has to worry about optimizing a single weight matrix W.\n",
    "X_train = np.hstack([X_train, np.ones((X_train.shape[0], 1))])\n",
    "X_val = np.hstack([X_val, np.ones((X_val.shape[0], 1))])\n",
    "X_test = np.hstack([X_test, np.ones((X_test.shape[0], 1))])\n",
    "X_dev = np.hstack([X_dev, np.ones((X_dev.shape[0], 1))])\n",
    "\n",
    "print(X_train.shape, X_val.shape, X_test.shape, X_dev.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "007d0962",
   "metadata": {},
   "source": [
    "## SVM Classifier\n",
    "\n",
    "Your code for this section will all be written inside `cs231n/classifiers/linear_svm.py`. \n",
    "\n",
    "As you can see, we have prefilled the function `svm_loss_naive` which uses for loops to evaluate the multiclass SVM loss function. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "729010a1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "loss: 9.436739\n"
     ]
    }
   ],
   "source": [
    "# Evaluate the naive implementation of the loss we provided for you:\n",
    "from cs231n.classifiers.linear_svm import svm_loss_naive\n",
    "import time\n",
    "\n",
    "# generate a random SVM weight matrix of small numbers\n",
    "W = np.random.randn(3073, 10) * 0.0001 \n",
    "\n",
    "loss, grad = svm_loss_naive(W, X_dev, y_dev, 0.000005)\n",
    "print('loss: %f' % (loss, ))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "913c157f",
   "metadata": {},
   "source": [
    "The `grad` returned from the function above is right now all zero. Derive and implement the gradient for the SVM cost function and implement it inline inside the function `svm_loss_naive`. You will find it helpful to interleave your new code inside the existing function.\n",
    "\n",
    "To check that you have correctly implemented the gradient, you can numerically estimate the gradient of the loss function and compare the numeric estimate to the gradient that you computed. We have provided code that does this for you:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "201fb97d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "numerical: -2.945160 analytic: -2.945160, relative error: 1.018505e-10\n",
      "numerical: 2.037090 analytic: 2.037090, relative error: 5.795414e-11\n",
      "numerical: -8.596083 analytic: -8.596083, relative error: 4.329870e-11\n",
      "numerical: 6.534521 analytic: 6.534521, relative error: 2.343454e-11\n",
      "numerical: 2.683066 analytic: 2.683066, relative error: 1.766050e-10\n",
      "numerical: -33.172601 analytic: -33.172601, relative error: 2.557389e-12\n",
      "numerical: -14.104006 analytic: -14.104006, relative error: 3.218537e-11\n",
      "numerical: -4.532369 analytic: -4.532369, relative error: 2.890901e-11\n",
      "numerical: -4.946365 analytic: -4.946365, relative error: 5.905995e-11\n",
      "numerical: -24.751214 analytic: -24.751214, relative error: 7.197660e-12\n",
      "numerical: 22.670704 analytic: 22.670704, relative error: 3.023709e-13\n",
      "numerical: -7.088871 analytic: -7.088871, relative error: 2.312326e-12\n",
      "numerical: 19.987525 analytic: 19.987525, relative error: 9.686476e-12\n",
      "numerical: 5.403728 analytic: 5.403728, relative error: 9.945231e-11\n",
      "numerical: -16.111560 analytic: -16.111560, relative error: 3.440573e-12\n",
      "numerical: 3.959197 analytic: 3.959197, relative error: 4.071638e-11\n",
      "numerical: 26.557307 analytic: 26.557307, relative error: 1.002319e-11\n",
      "numerical: 8.536927 analytic: 8.536927, relative error: 3.087905e-11\n",
      "numerical: 17.083004 analytic: 17.083004, relative error: 7.055617e-12\n",
      "numerical: 7.376725 analytic: 7.376725, relative error: 4.446133e-11\n"
     ]
    }
   ],
   "source": [
    "# Once you've implemented the gradient, recompute it with the code below\n",
    "# and gradient check it with the function we provided for you\n",
    "\n",
    "# Compute the loss and its gradient at W.\n",
    "loss, grad = svm_loss_naive(W, X_dev, y_dev, 0.0)\n",
    "\n",
    "# Numerically compute the gradient along several randomly chosen dimensions, and\n",
    "# compare them with your analytically computed gradient. The numbers should match\n",
    "# almost exactly along all dimensions.\n",
    "from cs231n.gradient_check import grad_check_sparse\n",
    "f = lambda w: svm_loss_naive(w, X_dev, y_dev, 0.0)[0]\n",
    "grad_numerical = grad_check_sparse(f, W, grad)\n",
    "\n",
    "# do the gradient check once again with regularization turned on\n",
    "# you didn't forget the regularization gradient did you?\n",
    "loss, grad = svm_loss_naive(W, X_dev, y_dev, 5e1)\n",
    "f = lambda w: svm_loss_naive(w, X_dev, y_dev, 5e1)[0]\n",
    "grad_numerical = grad_check_sparse(f, W, grad)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "694b90e0",
   "metadata": {
    "tags": [
     "pdf-inline"
    ]
   },
   "source": [
    "**Inline Question 1**\n",
    "\n",
    "It is possible that once in a while a dimension in the gradcheck will not match exactly. What could such a discrepancy be caused by? Is it a reason for concern? What is a simple example in one dimension where a gradient check could fail? How would change the margin affect of the frequency of this happening? *Hint: the SVM loss function is not strictly speaking differentiable*\n",
    "\n",
    "$\\color{blue}{\\textit Your Answer:}$ Hinge loss becomes non differentaible when any score is exactly equal to the margin more than the correct score and this causes the discrepancy.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "7b9f48b0",
   "metadata": {
    "scrolled": true,
    "test": "vectorized_time_1"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Naive loss: 9.436739e+00 computed in 0.117467s\n",
      "Vectorized loss: 9.436739e+00 computed in 0.004989s\n",
      "difference: -0.000000\n"
     ]
    }
   ],
   "source": [
    "# Next implement the function svm_loss_vectorized; for now only compute the loss;\n",
    "# we will implement the gradient in a moment.\n",
    "tic = time.time()\n",
    "loss_naive, grad_naive = svm_loss_naive(W, X_dev, y_dev, 0.000005)\n",
    "toc = time.time()\n",
    "print('Naive loss: %e computed in %fs' % (loss_naive, toc - tic))\n",
    "\n",
    "from cs231n.classifiers.linear_svm import svm_loss_vectorized\n",
    "tic = time.time()\n",
    "loss_vectorized, _ = svm_loss_vectorized(W, X_dev, y_dev, 0.000005)\n",
    "toc = time.time()\n",
    "print('Vectorized loss: %e computed in %fs' % (loss_vectorized, toc - tic))\n",
    "\n",
    "# The losses should match but your vectorized implementation should be much faster.\n",
    "print('difference: %f' % (loss_naive - loss_vectorized))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "2bc3450c",
   "metadata": {
    "test": "vectorized_time_2"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Naive loss and gradient: computed in 0.113331s\n",
      "Vectorized loss and gradient: computed in 0.004991s\n",
      "difference: 0.000000\n"
     ]
    }
   ],
   "source": [
    "# Complete the implementation of svm_loss_vectorized, and compute the gradient\n",
    "# of the loss function in a vectorized way.\n",
    "\n",
    "# The naive implementation and the vectorized implementation should match, but\n",
    "# the vectorized version should still be much faster.\n",
    "tic = time.time()\n",
    "_, grad_naive = svm_loss_naive(W, X_dev, y_dev, 0.000005)\n",
    "toc = time.time()\n",
    "print('Naive loss and gradient: computed in %fs' % (toc - tic))\n",
    "\n",
    "tic = time.time()\n",
    "_, grad_vectorized = svm_loss_vectorized(W, X_dev, y_dev, 0.000005)\n",
    "toc = time.time()\n",
    "print('Vectorized loss and gradient: computed in %fs' % (toc - tic))\n",
    "\n",
    "# The loss is a single number, so it is easy to compare the values computed\n",
    "# by the two implementations. The gradient on the other hand is a matrix, so\n",
    "# we use the Frobenius norm to compare them.\n",
    "difference = np.linalg.norm(grad_naive - grad_vectorized, ord='fro')\n",
    "print('difference: %f' % difference)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d9bf14d7",
   "metadata": {},
   "source": [
    "### Stochastic Gradient Descent\n",
    "\n",
    "We now have vectorized and efficient expressions for the loss, the gradient and our gradient matches the numerical gradient. We are therefore ready to do SGD to minimize the loss. Your code for this part will be written inside `cs231n/classifiers/linear_classifier.py`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "d662d7f5",
   "metadata": {
    "test": "sgd"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "iteration 0 / 1500: loss 776.852881\n",
      "iteration 100 / 1500: loss 8.309085\n",
      "iteration 200 / 1500: loss 8.313209\n",
      "iteration 300 / 1500: loss 8.073230\n",
      "iteration 400 / 1500: loss 7.872049\n",
      "iteration 500 / 1500: loss 7.938705\n",
      "iteration 600 / 1500: loss 8.281463\n",
      "iteration 700 / 1500: loss 8.148108\n",
      "iteration 800 / 1500: loss 8.287222\n",
      "iteration 900 / 1500: loss 8.066786\n",
      "iteration 1000 / 1500: loss 8.227643\n",
      "iteration 1100 / 1500: loss 8.176813\n",
      "iteration 1200 / 1500: loss 8.205250\n",
      "iteration 1300 / 1500: loss 8.121390\n",
      "iteration 1400 / 1500: loss 8.140097\n",
      "That took 7.951975s\n"
     ]
    }
   ],
   "source": [
    "# In the file linear_classifier.py, implement SGD in the function\n",
    "# LinearClassifier.train() and then run it with the code below.\n",
    "from cs231n.classifiers import LinearSVM\n",
    "svm = LinearSVM()\n",
    "tic = time.time()\n",
    "loss_hist = svm.train(X_train, y_train, learning_rate=1e-7, reg=2.5e4,\n",
    "                      num_iters=1500, verbose=True)\n",
    "toc = time.time()\n",
    "print('That took %fs' % (toc - tic))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "d7b4598d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# A useful debugging strategy is to plot the loss as a function of\n",
    "# iteration number:\n",
    "plt.plot(loss_hist)\n",
    "plt.xlabel('Iteration number')\n",
    "plt.ylabel('Loss value')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "5bb212de",
   "metadata": {
    "test": "validate"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "training accuracy: 0.215143\n",
      "validation accuracy: 0.206000\n"
     ]
    }
   ],
   "source": [
    "# Write the LinearSVM.predict function and evaluate the performance on both the\n",
    "# training and validation set\n",
    "y_train_pred = svm.predict(X_train)\n",
    "print('training accuracy: %f' % (np.mean(y_train == y_train_pred), ))\n",
    "y_val_pred = svm.predict(X_val)\n",
    "print('validation accuracy: %f' % (np.mean(y_val == y_val_pred), ))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "846e9a3d",
   "metadata": {
    "tags": [
     "code"
    ],
    "test": "tuning"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "iteration 0 / 1500: loss 788.176248\n",
      "iteration 100 / 1500: loss 8.385458\n",
      "iteration 200 / 1500: loss 8.272095\n",
      "iteration 300 / 1500: loss 8.260670\n",
      "iteration 400 / 1500: loss 8.351188\n",
      "iteration 500 / 1500: loss 8.373069\n",
      "iteration 600 / 1500: loss 7.763763\n",
      "iteration 700 / 1500: loss 8.311843\n",
      "iteration 800 / 1500: loss 8.412266\n",
      "iteration 900 / 1500: loss 8.108579\n",
      "iteration 1000 / 1500: loss 8.360546\n",
      "iteration 1100 / 1500: loss 8.451955\n",
      "iteration 1200 / 1500: loss 8.232031\n",
      "iteration 1300 / 1500: loss 8.184448\n",
      "iteration 1400 / 1500: loss 8.150386\n",
      "iteration 0 / 1500: loss 1562.387041\n",
      "iteration 100 / 1500: loss 8.147871\n",
      "iteration 200 / 1500: loss 8.224525\n",
      "iteration 300 / 1500: loss 8.320588\n",
      "iteration 400 / 1500: loss 8.271040\n",
      "iteration 500 / 1500: loss 8.331508\n",
      "iteration 600 / 1500: loss 8.311432\n",
      "iteration 700 / 1500: loss 7.875518\n",
      "iteration 800 / 1500: loss 8.304577\n",
      "iteration 900 / 1500: loss 8.049961\n",
      "iteration 1000 / 1500: loss 8.483099\n",
      "iteration 1100 / 1500: loss 8.138833\n",
      "iteration 1200 / 1500: loss 8.132683\n",
      "iteration 1300 / 1500: loss 8.419258\n",
      "iteration 1400 / 1500: loss 8.146277\n",
      "iteration 0 / 1500: loss 781.835821\n",
      "iteration 100 / 1500: loss 34794251400411254436971890941277323139721750297702738935334012349517790856794341376.000000\n",
      "iteration 200 / 1500: loss 1347439366564684872067805689147240525762204561389354415932720153010261228987534981017243556839037779940106991396476209505160243887449071917631048031986797187694592.000000\n",
      "iteration 300 / 1500: loss 52180827967081345690777397058756984415987087368724749279164244625701709159775690751352345993411461002383012614075809957189840162624707995573726465273784260548273614184776381632016442315173617425193035507067598485727750831309953553510118195200.000000\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\BIT 2023\\Deep Learning and Image Analysis\\assignment1\\cs231n\\classifiers\\linear_svm.py:86: RuntimeWarning: overflow encountered in double_scalars\n",
      "  n = len(X)\n",
      "c:\\BIT 2023\\Deep Learning and Image Analysis\\assignment1\\cs231n\\classifiers\\linear_svm.py:86: RuntimeWarning: overflow encountered in square\n",
      "  n = len(X)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "iteration 400 / 1500: loss inf\n",
      "iteration 500 / 1500: loss inf\n",
      "iteration 600 / 1500: loss inf\n",
      "iteration 700 / 1500: loss inf\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\BIT 2023\\Deep Learning and Image Analysis\\assignment1\\cs231n\\classifiers\\linear_svm.py:84: RuntimeWarning: overflow encountered in subtract\n",
      "  # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n",
      "c:\\BIT 2023\\Deep Learning and Image Analysis\\assignment1\\cs231n\\classifiers\\linear_svm.py:104: RuntimeWarning: overflow encountered in multiply\n",
      "  # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n",
      "c:\\BIT 2023\\Deep Learning and Image Analysis\\assignment1\\cs231n\\classifiers\\linear_svm.py:84: RuntimeWarning: invalid value encountered in subtract\n",
      "  # *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "iteration 800 / 1500: loss nan\n",
      "iteration 900 / 1500: loss nan\n",
      "iteration 1000 / 1500: loss nan\n",
      "iteration 1100 / 1500: loss nan\n",
      "iteration 1200 / 1500: loss nan\n",
      "iteration 1300 / 1500: loss nan\n",
      "iteration 1400 / 1500: loss nan\n",
      "iteration 0 / 1500: loss 1556.430048\n",
      "iteration 100 / 1500: loss 101425803174791140898117585711834177859706945198855070849213732205152270788194740417258873731352904234512099075027657644986028568130109464117248.000000\n",
      "iteration 200 / 1500: loss 6311743227260682581753521446588656064457475112005389203423961211283585507463753860328000163100108917101170601741760384279598479647337134629963028077044920391557680573202499466119741338241872341391480128293904580096279607723130360828635352369632959368547028420929211957379425596604416.000000\n",
      "iteration 300 / 1500: loss inf\n",
      "iteration 400 / 1500: loss inf\n",
      "iteration 500 / 1500: loss nan\n",
      "iteration 600 / 1500: loss nan\n",
      "iteration 700 / 1500: loss nan\n",
      "iteration 800 / 1500: loss nan\n",
      "iteration 900 / 1500: loss nan\n",
      "iteration 1000 / 1500: loss nan\n",
      "iteration 1100 / 1500: loss nan\n",
      "iteration 1200 / 1500: loss nan\n",
      "iteration 1300 / 1500: loss nan\n",
      "iteration 1400 / 1500: loss nan\n",
      "lr 1.000000e-07 reg 2.500000e+04 train accuracy: 0.192633 val accuracy: 0.207000\n",
      "lr 1.000000e-07 reg 5.000000e+04 train accuracy: 0.226388 val accuracy: 0.223000\n",
      "lr 5.000000e-05 reg 2.500000e+04 train accuracy: 0.100265 val accuracy: 0.087000\n",
      "lr 5.000000e-05 reg 5.000000e+04 train accuracy: 0.100265 val accuracy: 0.087000\n",
      "best validation accuracy achieved during cross-validation: 0.223000\n"
     ]
    }
   ],
   "source": [
    "# Use the validation set to tune hyperparameters (regularization strength and\n",
    "# learning rate). You should experiment with different ranges for the learning\n",
    "# rates and regularization strengths; if you are careful you should be able to\n",
    "# get a classification accuracy of about 0.39 (> 0.385) on the validation set.\n",
    "\n",
    "# Note: you may see runtime/overflow warnings during hyper-parameter search. \n",
    "# This may be caused by extreme values, and is not a bug.\n",
    "\n",
    "# results is dictionary mapping tuples of the form\n",
    "# (learning_rate, regularization_strength) to tuples of the form\n",
    "# (training_accuracy, validation_accuracy). The accuracy is simply the fraction\n",
    "# of data points that are correctly classified.\n",
    "results = {}\n",
    "best_val = -1   # The highest validation accuracy that we have seen so far.\n",
    "best_svm = None # The LinearSVM object that achieved the highest validation rate.\n",
    "\n",
    "################################################################################\n",
    "# TODO:                                                                        #\n",
    "# Write code that chooses the best hyperparameters by tuning on the validation #\n",
    "# set. For each combination of hyperparameters, train a linear SVM on the      #\n",
    "# training set, compute its accuracy on the training and validation sets, and  #\n",
    "# store these numbers in the results dictionary. In addition, store the best   #\n",
    "# validation accuracy in best_val and the LinearSVM object that achieves this  #\n",
    "# accuracy in best_svm.                                                        #\n",
    "#                                                                              #\n",
    "# Hint: You should use a small value for num_iters as you develop your         #\n",
    "# validation code so that the SVMs don't take much time to train; once you are #\n",
    "# confident that your validation code works, you should rerun the validation   #\n",
    "# code with a larger value for num_iters.                                      #\n",
    "################################################################################\n",
    "\n",
    "# Provided as a reference. You may or may not want to change these hyperparameters\n",
    "learning_rates = [1e-7, 5e-5]\n",
    "regularization_strengths = [2.5e4, 5e4]\n",
    "\n",
    "# *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n",
    "\n",
    "for lr in learning_rates: \n",
    "    for reg in regularization_strengths: \n",
    "        svm = LinearSVM() \n",
    "        loss_hist = svm.train(X_train, y_train, learning_rate=lr, reg=reg, \n",
    "                              num_iters=1500, verbose=True)\n",
    "        y_train_pred = svm.predict(X_train) \n",
    "        y_val_pred = svm.predict(X_val) \n",
    "        train_accuracy = np.mean(y_train == y_train_pred) \n",
    "        val_accuracy = np.mean(y_val == y_val_pred) \n",
    "        results[(lr,reg)] = train_accuracy, val_accuracy \n",
    "        if (val_accuracy > best_val): \n",
    "            best_svm = svm \n",
    "            best_val = val_accuracy \n",
    "\n",
    "# *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n",
    "    \n",
    "# Print out results.\n",
    "for lr, reg in sorted(results):\n",
    "    train_accuracy, val_accuracy = results[(lr, reg)]\n",
    "    print('lr %e reg %e train accuracy: %f val accuracy: %f' % (\n",
    "                lr, reg, train_accuracy, val_accuracy))\n",
    "    \n",
    "print('best validation accuracy achieved during cross-validation: %f' % best_val)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "ce38e53f",
   "metadata": {
    "tags": [
     "pdf-ignore-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x800 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize the cross-validation results\n",
    "import math\n",
    "import pdb\n",
    "\n",
    "# pdb.set_trace()\n",
    "\n",
    "x_scatter = [math.log10(x[0]) for x in results]\n",
    "y_scatter = [math.log10(x[1]) for x in results]\n",
    "\n",
    "# plot training accuracy\n",
    "marker_size = 100\n",
    "colors = [results[x][0] for x in results]\n",
    "plt.subplot(2, 1, 1)\n",
    "plt.tight_layout(pad=3)\n",
    "plt.scatter(x_scatter, y_scatter, marker_size, c=colors, cmap=plt.cm.coolwarm)\n",
    "plt.colorbar()\n",
    "plt.xlabel('log learning rate')\n",
    "plt.ylabel('log regularization strength')\n",
    "plt.title('CIFAR-10 training accuracy')\n",
    "\n",
    "# plot validation accuracy\n",
    "colors = [results[x][1] for x in results] # default size of markers is 20\n",
    "plt.subplot(2, 1, 2)\n",
    "plt.scatter(x_scatter, y_scatter, marker_size, c=colors, cmap=plt.cm.coolwarm)\n",
    "plt.colorbar()\n",
    "plt.xlabel('log learning rate')\n",
    "plt.ylabel('log regularization strength')\n",
    "plt.title('CIFAR-10 validation accuracy')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "737b42e1",
   "metadata": {
    "test": "test"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "linear SVM on raw pixels final test set accuracy: 0.231000\n"
     ]
    }
   ],
   "source": [
    "# Evaluate the best svm on test set\n",
    "y_test_pred = best_svm.predict(X_test)\n",
    "test_accuracy = np.mean(y_test == y_test_pred)\n",
    "print('linear SVM on raw pixels final test set accuracy: %f' % test_accuracy)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "72ac2e11",
   "metadata": {
    "tags": [
     "pdf-ignore-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAxsAAAH9CAYAAAByXGF/AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8qNh9FAAAACXBIWXMAAA9hAAAPYQGoP6dpAACxqklEQVR4nOy9e7RuZ13f+5v397Yu+xKSQCRERKxKQPQQFUq4NBW56AERiyLByhC0PQ4tPRVqJQFpEURHPY7T6mlFeg5UhIoUoYOqERm2BhvFokJvoxoqSHZ29t7r8t7mO2/nD0b24Pd5JjvLmLl2IN/PGBkZc633nZfnOp+9vt/nG3Vd15kQQgghhBBCPMDEl/sGhBBCCCGEEF+caLEhhBBCCCGEGAQtNoQQQgghhBCDoMWGEEIIIYQQYhC02BBCCCGEEEIMghYbQgghhBBCiEHQYkMIIYQQQggxCFpsCCGEEEIIIQZBiw0hhBBCCCHEIGixYWZPe9rT7GlPe9rlvg0hhDg2br31VouiyO65555Lfu6BGB/vvZYQQ7NcLu3WW2+13/7t377ctyK+gNAYNSzp5b4BIYQQD17+2T/7Z5f7FoQ4Msvl0l73uteZmekfEYV4kKDFhhBf5DRNY3VdW1EUl/tWxBcgX/mVX3mfn1EbE0KIvxzL5dImk8nlvo1j4YtaRnXvn8X+8A//0F7wghfY9va27ezs2Ete8hI7e/bsJb/7ute9zm644QY7efKkbW9v2xOf+ET7hV/4Beu6zn3uUY96lD33uc+1D37wg/bEJz7RxuOxfcVXfIW99a1vDc5511132Ste8Qq75pprLM9zu+666+x1r3ud1XX9gD63+MLkv/7X/2ovfvGL7corr7SiKOyRj3ykvfSlL7WyLO3s2bP2Az/wA/aVX/mVNpvN7GEPe5g94xnPsN/5nd9x57jzzjstiiJ785vfbG94wxvsuuuus6Io7EMf+tBleirxYOfP//zPLzk+UkZ1X23sAx/4gD3hCU+woijsuuuus7e85S3H/UjiC5S/6hh455132hVXXGFmn53DoyiyKIrsZS972WV6IvFg5ChjVNd19s/+2T+zJzzhCTYej+3EiRP2whe+0P70T/80+Oxv/uZv2jOf+Uzb3t62yWRiT37yk+22225zn7n3ffSjH/2ovfCFL7QTJ07Yox/96MGe8cHGQ+IvG89//vPtRS96kb3yla+0j3/84/ZjP/Zj9olPfMJ+7/d+z7Is6/3OnXfeaa94xSvskY98pJmZfeQjH7H/4//4P+zTn/60vfa1r3Wf/djHPmavetWr7NWvfrVdeeWV9i//5b+07/3e77Uv+7Ivs6c+9alm9tmFxpOe9CSL49he+9rX2qMf/Wi7/fbb7Q1veIPdeeed9ou/+IvDFoJ4UPOxj33MnvKUp9jp06ft9a9/vT3mMY+xz3zmM/a+973PNpuNnT9/3szMbrnlFrvqqqtsPp/br/7qr9rTnvY0u+222wK5wP/1f/1f9uVf/uX2lre8xba3t+0xj3nMZXgq8YXA/Rkfzfrb2G233Wbf+q3fat/wDd9g73znO61pGnvzm99sZ86cOcYnEl+IPBBj4NVXX20f/OAH7VnPepZ97/d+r7385S83M7u4ABHiqGPUK17xCnvb295mP/iDP2hvetOb7Pz58/b617/evvEbv9E+9rGP2ZVXXmlmZm9/+9vtpS99qX3rt36r/at/9a8syzL7+Z//efumb/om+/f//t/bM5/5THfeF7zgBfa3/tbfsle+8pW2WCyO7bkvO90XMbfccktnZt0P//APu5+/4x3v6Myse/vb3951XdfdeOON3Y033vh5z9M0TVdVVff617++O3XqVNe27cXfXXvttd1oNOo++clPXvzZarXqTp482b3iFa+4+LNXvOIV3Ww2c5/ruq57y1ve0plZ9/GPf/yv8qjiC5xnPOMZ3e7ubnf33Xcf6fN1XXdVVXXPfOYzu+c///kXf/5nf/ZnnZl1j370o7vNZjPU7YovAu7v+HipNnbDDTd0D3/4w7vVanXxZwcHB93Jkye7L/LpRvwVeaDGwLNnz3Zm1t1yyy0D3an4QuYoY9Ttt9/emVn3Uz/1U+67f/7nf96Nx+PuH/yDf9B1XdctFovu5MmT3fOe9zz3uaZpusc//vHdk570pIs/u3e8fe1rXzvUoz2o+aKWUd3Ld33Xd7njF73oRZam6SWlJb/1W79lf+Nv/A3b2dmxJEksyzJ77Wtfa+fOnbO7777bffYJT3jCxb+AmJmNRiP78i//cvvkJz958Wfvf//77elPf7o9/OEPt7quL/73zd/8zWZm9uEPf/iBeFTxBchyubQPf/jD9qIXveiS/wL3cz/3c/bEJz7RRqORpWlqWZbZbbfdZv/lv/yX4LPf8i3fcsl/lRbiXu7P+GgWtrHFYmF33HGHveAFL7DRaHTx51tbW/a85z3vgb1p8UXFEGOgEOSoY9T73/9+i6LIXvKSl7j3tauuusoe//jHX9zp7Hd/93ft/PnzdvPNN7vPtW1rz3rWs+yOO+4I/nrxbd/2bcfyrA82HhKLjauuusodp2lqp06dsnPnzvV+/j/9p/9kf/Nv/k0zM/sX/+Jf2H/8j//R7rjjDvvRH/1RMzNbrVbu86dOnQrOURSF+9yZM2fs137t1yzLMvffV33VV5mZ3ef2k+KLlwsXLljTNHbNNdd83s/89E//tH3/93+/3XDDDfYrv/Ir9pGPfMTuuOMOe9aznhW0RzOzq6++eshbFl9E/GXHx3thG7tw4YK1bRucr+8aQnwuQ4yBQpCjjlFnzpyxruvsyiuvDN7ZPvKRj1x8X7tXevXCF74w+Nyb3vQm67ruovzvXh6qc/NDwrNx11132SMe8YiLx3Vd27lz53oXCWZm73znOy3LMnv/+9/vVr/vfe977/c9nD592q6//nr7x//4H/f+/uEPf/j9Prf4wubkyZOWJIl96lOf+ryfefvb325Pe9rT7J//83/ufn54eNj7ee0XLo7KX3Z8vBe2sRMnTlgURXbXXXf1XkOIz8cQY6AQ5Khj1OnTpy2KIvud3/md3h327v3Z6dOnzczsZ3/2Z+3rv/7re695r7fjXh6qc/ND4i8b73jHO9zxu971Lqvr+vPuwR1FkaVpakmSXPzZarWy/+//+//u9z0897nPtT/5kz+xRz/60fZ1X/d1wX9abDx0GY/HduONN9q73/3uz/sXriiKgkHvj/7oj+z2228/jlsUX8T8ZcfHz8d0OrUnPelJ9p73vMfW6/XFnx8eHtqv/dqvPRC3Kr5IeSDHwHs/o792CHLUMeq5z32udV1nn/70p3vf1x73uMeZmdmTn/xk293dtU984hO9n/u6r/s6y/P82J/zwchD4i8b73nPeyxNU7vpppsu7rby+Mc/3l70ohf1fv45z3mO/fRP/7R953d+p33f932fnTt3zt7ylrf8lfaQf/3rX2+/8Ru/Yd/4jd9oP/iDP2iPfexjbb1e25133mn/7t/9O/u5n/u5S/4JWXxx89M//dP2lKc8xW644QZ79atfbV/2ZV9mZ86csfe973328z//8/bc5z7XfvzHf9xuueUWu/HGG+2//bf/Zq9//evtuuuu09bJ4q/EX3Z8vBQ//uM/bs961rPspptusle96lXWNI296U1vsul0GsgJhPhcHqgxcGtry6699lr7t//239ozn/lMO3nypJ0+fdoe9ahHXb6HEw8ajjJGPfnJT7bv+77vs+/5nu+x3//937enPvWpNp1O7TOf+Yz9h//wH+xxj3ucff/3f7/NZjP72Z/9Wbv55pvt/Pnz9sIXvtAe9rCH2dmzZ+1jH/uYnT17NvhL3EOWy2xQH5R73f9/8Ad/0D3vec/rZrNZt7W11b34xS/uzpw5c/FzfbtRvfWtb+0e+9jHdkVRdF/6pV/avfGNb+x+4Rd+oTOz7s/+7M8ufu7aa6/tnvOc5wTX7jvn2bNnux/8wR/srrvuui7Lsu7kyZPd137t13Y/+qM/2s3n8wfy0cUXIJ/4xCe6b//2b+9OnTrV5XnePfKRj+xe9rKXdev1uivLsvv7f//vd494xCO60WjUPfGJT+ze+973djfffHN37bXXXjzHvTsF/eRP/uTlexDxBcH9HR/vq429733v666//vqLbfgnfuInLl5LiEvxQIyBXdd1v/mbv9l9zdd8TVcURWdm3c0333xZnkc8ODnqGPXWt761u+GGG7rpdNqNx+Pu0Y9+dPfSl760+/3f/333uQ9/+MPdc57znO7kyZNdlmXdIx7xiO45z3lO9+53v/viZ+49/9mzZ4/lGR9sRF2HlLovIm699VZ73eteZ2fPnr2orRNCCCGEEEIcDw8Jz4YQQgghhBDi+NFiQwghhBBCCDEIX9QyKiGEEEIIIcTlQ3/ZEEIIIYQQQgyCFhtCCCGEEEKIQdBiQwghhBBCCDEIRw71e9v7/8IdN623emya0PrR8mdIaU+SGMeJO45wbBZeI4n9OdLUH7fW4hS4iTY8Z4fr5Ajzi2N/X23nr9HngmmaBtfw99F1/vdNuXbH1vprxD2R9/xRh2eNksx/AM+RxOE5E5Rn0/r7/O5nngy+MwTvf9+H3HG59uUzKcJ1c5z45h2hrRSTkTtelZU7Pjjc9+djA7awHorCp4VGaAvNxl+D92Rm1nUbd7y3f84dL+YHuKa/h5Jtx8wWC3/dDKmmaeLb+Giy7X+f+7KMY7QlMyvyif9Oin6CflW3PoyQZWVmtn/B18Fi4Z/9h/7e3w2/NBDf8txnuOMYdZfl4XCapP5nee7LeYz2wuM0ZTljPDOzJPV9sij8dyL0gxZjCY/NzDoERUaxr5w44rP6NpgE921mGF8iNP2q8u12Uy7d8Wrl+0VZhw2G5cvyYw/OMMU07cZIZ5eep37yzW8PvjMEL372c9xxhLEn7UkqzjOMT+bbSluX7ni+OHTHGZ61WoYBovOF/9ne3J/DUKZZgT4xCu+7bXy9tZW/7yz2bbZB28nzcFydbWFMK/z4P51O3fHOzo475hxdbsJxti59eXZ4v0gxZlSVL5vNJmx/6diPq2Xjn/0X3n9b8J0heOLjTrjjyczfV4HyNDPbVL5tbDb+mO9SDd6lYrwjpjHfCc3iBP0g9u2LY0CL9rhahEnzdePnyzHeATO+u0b+vtY99dhFeMfD+LVaVjj2bSl8/eh558YYm2SXfldl+Wdpz5IAc0GCsf8P/uRs+J0e9JcNIYQQQgghxCBosSGEEEIIIYQYBC02hBBCCCGEEINwZM8GfQwR9f1NqPulpqyAHizQgUMfGvd4CAg1aBGE39TZ17jPqEf3lmX+vkbQQPM+6V+p4c8wM0szv66jn6La+HO00HZS39znHwg1fP4z1D+OoJ1Nk3DtSa9JXYXPdjx4PWPbQt+96SkP/gga57b1mvCyRVupve6SWm2zsB6b1pdplno9ctv559isQ91vVfn7OoCOulz731tETb6/hplZDW02pa8tvUsltNpz/+u4R5M/mfjrsv828GhUNXTYPXpR6qKpcT5ORtDtsr/1DlfwOEXwXHBcpaUszeg76vNq+XLnuJplvg2yT1dV2F7i1D9r4K+j1hrjat3j4aN+nf2ReuyOXhNI+5O0pywSapR5EyhvDBIRB9rPfshxhGlpEFYr338y6LE7C+sRXc7qyP8gpVEq8OL48liVob59CX16Cd9Ctdxzx5Opv0ZdhZ6NskS91L595fCerNb+vtKixzOEztWZH0eXB/AI7ftBj2Nmn8cxh0+tgWdhDV8gY87ocTAzqw7xnazn2Y6BJKV3leNK2OcDXxvGeHoHOSbQ/9rnh6WfrAg8QHjXWuFdtqc/xxF9WvTe+WvE8GxUfel1Edpwzvdd1DO+zrmC75RmZiW8JqwTjuP0nHJMMQt9H12PV+4o6C8bQgghhBBCiEHQYkMIIYQQQggxCFpsCCGEEEIIIQbhL+HZwP690LAlbSh8477UWQ7vAzSP9AwUo7E7bi30CzTQqFFGWbXUaUKv17NvfQZNJHXSVKxV0MX16QoTaDkDqSz0fKMRtNoQH/ftjU+9Mb0lo7EvzxhP0jShXpR7UvfYOo6Fgz2fNbGG12E6Cff4zqF3r1ExUYLnh36xabjPdU93iXxbqWu2UV+m8xX0zH1lDk39Bj6ZBBr8GPkpWU5vgVmFfeuZ57De4L6Rr1I3vi0tDrCXvpkdHFzwp0B/T9EemZswmfj2aWbWYI/vvnZ/XNDLFebahPe2gR9isVi4Yz4Pz8k+zP3ezcJ95KmTpr8mgvic2RSfvTHcB+6LGQ8lnjPpCU2JgjnE/36DDBoOtAV00pM01PozS6iG1r+mP4X5Rj25S5zZuqCPHw/lGmNHDc33Krx3TDuWY8wr6N2C96bjgN+TcxBm9jAvy39+OvE/qHvK/HDjn7VEFkIH7xbzbGbjcCxpkQ3UYd6u4JeYz31fNfje+sarCJkYiyVyNFZ+3trZ2sI5/ffNzA7wnXCOOR5GIz9OcKxi5pmZWQq9fx0zvwdjFTIyAg9Hz/taxwyz+/CVxjxFT/tDdEfgZYjhl2C+St97ZeDBwDtfksM/UdAnh/eXHs9aDM8oPaV8j6fXLup5eWV/TkfhGHAU9JcNIYQQQgghxCBosSGEEEIIIYQYBC02hBBCCCGEEIOgxYYQQgghhBBiEI5sEKdxhwEvUU+QWILTdzHDfGiquQ/DbtsTOlfTYOmPm85/h+FlfaboIPik9cayFvdZ1/7Z+0L9YmSR0dqTMZgLppwSprC6Du87ZWhiRgMl7psha1UY2FQhsCnOp8FnjoMa9bR/cOA/0IXlsUGwE4N2srE3lTcw+B4iTI+Gws/+0LeVPPPnTDLfT9omcBUHp1wvfbjUYu4NglGCNo4+sLu9G5xzNvX3UTCkLcUGBGx/JTdWCPsiAwoZ4meFL5sWdUozeB99/fW4SGGaz2GAp7HfLDRAsrYZsFfCJF2MYDTsCZ1jv+eGFhUNk/h90RPQONvy/ZzhTzS+N5EfO+p1OB/w2RLcFtuxITSsRkBiEERpZgUDDdGOExjIOW60TTglNjU3Ibk8qX7c4CJlQCH7m5ltlr5PLjHnjmB0nWBMjAoEw9ZhvU5gEO9m3jhdRTN3nGJzmbpn04ca7xMd3jcaPDvve3d3Nzhngg0eUoSqYVi1Ai7hJvLtj3O0mVmMZxvBDJ/h9yk3OehpW9wUIu8xHx8HLTZTSAym6STsO1OY6JuKgaIwd+MdsQnaRlg+KXZBqDEPca+KHNdoezaa4Dteh3m+2vi+xgDgvndAhuNVmO+4eRHzDjm29dng4/rSBvCSGytE2NyhZ37he3nUe+X7Rn/ZEEIIIYQQQgyCFhtCCCGEEEKIQdBiQwghhBBCCDEIR/ZsMDgqghBuMgp1b9TZF9CHNtDfZQgpSaBBjdMevTKCejal1+t1ndd+UhJJj4eZWcLrxAw+gXa78MUY0xxgoR49YeBhEkS++COURV+43ggJTRnKu4KusEUg4gZBSmZmMTR8eY+++3jwz0a99nIV+k3G0KavK1+PB3PvyZgv/TnuOedD6uqesKAWOvO88BrVYuy17xHbK0LezMzmCDCsOl8vCeo13tl2x4tlT1kguG0NL45Bt9ohQChGPyp6+mI28oFU+Yj6W/hC0B5Xqx4tMr4zX8zDzxwTEwSFpRn1/z3hUNDIbhAcxq8wLBWS2159+wbtOodPJIL2PEFdj2e+/ZiZjVGXTUVNMvwDudfMZxaOE4dL367pl2BGVTFCUCd00FWfNy5lYKGvsxq+kUBr3Rcayb7AhMNjYtX4e80xJiZ1j/8LwZkdxvgOOvAUfoDtzJ9zHPcE6yK4tI0YpOh/Xy4oog/fHXLUfWN8dl+P2zP/eerbzcxK1DX1/xHDedEgGVLcNmEbp6eMmnn6CxjMRj+LmVnS+Z9tenwzx0Ge+TGB74R5HgbrFvAwRmhP6w3bDr1heGfp8WZ2KHP24DG8OdMx3mXLsD/zHPRT1Hh3SnAN6/F3FgjSXZb+KhuWBW4i6eiR6fEwY4zguyrfl9vG/z7jmGtmXcMg1B7v6hHQXzaEEEIIIYQQg6DFhhBCCCGEEGIQtNgQQgghhBBCDMJfwrOB/eKx53nXk7NBnbchYyCiDwE637TBfsnYa9vMLBl7HVwSXzqPouJe7z37CifQ5MbM/0AeQ0JNdBHuv11xb2LkZiQxtJzQ1u1sQ2fYs9c2vSbUyAf7I+M5tsY95ZvCc5CEnzkODg599gS1nst1qOVcrLw+uYZ+cYX9uPcOvYdjgz3p4yis13rjyzROvEac4R7r0l+jmocehMWB/0wT+WfbPrHr7xOPvo/nMDNrc9/uc2iHY+i/R1Nf7w20neuS+ufQj8B/yuA+98yDWK19HZuZNTjnfk95HRf0PjR231r+CBrspOPYAp8VvDXchz+KwyG7i6DpRgYGr5lP/DXiJNTMb7j/PT0azErAeNRW4XyQov7pd+J+7vRl1Rgz+9pgmuHZkdWRwGfT0cPX5wOJmdVxeTwb9K1FbEtZOD7RpEhNfIt67Hrmw8+lyEOfAuNRWvg5C/Z71EE8xZhpZiXzsOA1ieGjGTEzI/BAmhneWer20r7I9RxZH6j2E0Wob4/wvsFr5PSnJGyPYdvK6euguemY2JrA2xXRbxK2jRh+k7b1fTbN/DnKhjlDzFoL67WtfJudTnbdcY7+WuTIXktDr2qLd6UV8mr4tsFMuKTHv8JxusE7M/16OfoJ58uMnkEzixheRD8Vii+N/Fwwm3pfjplZBK9S3DNGHgX9ZUMIIYQQQggxCFpsCCGEEEIIIQZBiw0hhBBCCCHEIBzZsxFxb93Oa++qTai3jqFjy3Pq/am7xP7w0Ip1ldfNmZk18IU0Lfe59ueg14F70n/2Z/CWJNQm4vfU/fZoenPofpvK6+3GI1823AufetKoZ7/pihpo3AZ11yPoCvOefZvrDrrAHk3pcTBf+3reX6DeuRe0mdVoky3W1tRVdtGlfUjzZdjGkxT7iI+xb33t671Eta3rsB734SUZI9+hhrfpYAnRdE9ZbAItO/IIRv7ZT079c8UT7+Gol2FfrNbwxCDvg3vn03V0uDgIzrle+3HmYB5miBwXFTY+j5ln0ePp4VhQwHeW4zjCOVNo5KMkvAb9FdSmxzG8cYmvuzwOPRvFbOaOZ1ter10ip6VdeZ9QtAj7irGtIx+EWTk5NPEdx+UonL7YXhJMceOJ1yRn8KtEWTi+MauJ89pxMcNlR9BsF6OwPLLK/2yFMovhp0hH/pwV5ujpVpjJUiCvokXPnsE/kTJ7qCcTA6e0pPW6+uWer+f12o8deY8PhHMqMxwq9JsKv2fmFP1YZmYdcwwgki9G8MJhTKHHtO+6Sc8YcBzM4PVizk0xCsuc3i5mR+QpcofoqUXb6Ot6aet/OMKcvMY5W7xXbm2F/gr6coPX3xL5bRjnsx7Pxgq+0vF4yx2nnD9wXOHloerJc0vw/jFG7lcL39sEdTbq8WS1qOe46skiOgL6y4YQQgghhBBiELTYEEIIIYQQQgyCFhtCCCGEEEKIQTiyZ6OBnjGJKGIL997lfu8xvkMfyAR62hR7yjebUIterb3Odw7d77rx+rIMvoSiZ8/qfOQ/k8fQvVFQCiEhr2Fm1kBXGE+gb0yYs+F/nWVebxp3PXkXkS+fEhkQKc4xgiY60H5bqKsPvDvHBPdyr+A/Wa7DPfdZD11HfSyyJ+AZqhrsu173lA/3oEboRcE950fYx7oO9/jOt3b9fUD3O6/oKfI6y6xHS1zDf1IuFu44Lf01VpE/52QLGQc9fXEBH8f8cN8dF/AlWec/v1iFOv/Fyl9nsQnr+bign4Ia8KDTmlnKPBOMacxuSbEPf5Iip6PHD9Y2vg11yJNhnkWGc47GodY6w9hAeTD3lade+9SJ4JTWlb6+D6BPp0cjz3x7YbZOnIba9Qw/69B3Yoxf48JfY8N5zcw6zCGBgPuYuGLqn62AB6rPK5huQZMNTXeBuh/BX7FGrs20xy8wwpi2xNjA8SiDT2Tv4EJwTs7rHXxosJwFPpGqp442+FmNNhwhp6pCWxix//MmLKyTMTwcU5R3izlp1eN1qpAns+rxax4H6/rSY2/Thb9nnlNT+zKvOY9gXs8xVvHVy8ysKdk2/Dk4Zi6XKL8ofJeKcN2sgHckR64GbnPVkzM0nvixfRv9Zg2vJnM5InjHqnXom1wvfL8p8J7YYMxdln5eb0ahfy+FV67oyVM5CvrLhhBCCCGEEGIQtNgQQgghhBBCDIIWG0IIIYQQQohBOLJno228Hq/Dvtf1pmff/Y3/zOrQ78XeNNQreh35dOb3IS7ScG1EH0gGDf0KOuEltJ/RJNSfzSPo7qFVzDKvy6yh5a/78iqwwfRk2+9jz/wP7uGfQBTIPZvNQo9GDZ9NA80qPQnVJjxnAk1z3PNsxwH1igWqrevRXebQWcY4xxK6YKMuHZ6OlpuEm1kb+Z+VG7Tp0mue4xifX4ca3SjyusnGfD1uamiP8Rw7234vdzOzBv2iNK+lncPzMsY1CvgAslF4jZMP8/ddoJLSzJ9jMfda0MMzZ4NzNqgUeiCOkxT93qDHTuJwOKUnI/j3nZjaYD8ucE/9tkc33bR+jOO4muMcNfIDeqxIdn7Pj9Ur+GkyeN3GBTOSejTLyIFYbvjsvk1V0BN3NG716Ldr5BHlGTXf0IyzT/ds5B9e9vKMgQ+74qQ7ZvZJ0pMZNV8hHwfjwBQ+qhZj3h7KbzYL+30LP2Ke0l/IuQw+t8AZaBaxHtHvW/STDcbupCcLYFn7cTJGFkISw6dk/v0lg4a+7WkrOcqT32G2R4fxLe7zkDILprk87S8sUv+DDfw9ZuF7TEMPFbyBOfwWO1P4ttbhs5cdxtgOXgdmfWDM3dThO+A2vDWb0j/rFHkUfNfqynBQ3Zn6/pqjLJoW/r7C13s6RgZTz7vYwZ5v4xfuOueOE7SvYuL7UThfmXV4x0mL+zcH6y8bQgghhBBCiEHQYkMIIYQQQggxCFpsCCGEEEIIIQZBiw0hhBBCCCHEIBzZIH7+vA/eSWNv4Eqj0FzM8Kj53JsMFzAUHezvueMxQv5O9yRF0TNOj1yz8uekIbDNvEHGzKxCiElVIUwq9s/B/KCmJ9AlgqFojTCfEYx4kxEMSOmljchmZouFL094fC2C+SeCkZRGv89+Bz+7TIFWhiCjg/3z7niy482TZmYtjfsNDILmzXoMLNzZ8u2vjsJ6XbcwbcGUHuQkIggqsbD9BSZCGNwSGsfQi7uef0NIUpghs0sbZROEU3Von6sm7O8nsKGDweTJ/m6JN//RGG8Wmkdp+j9OGDqXpP7+iyzcpCBFAFJd0xSIjSPGCDaFubtch/1+tcQ50a+71N/DPfd40+CcIVdmtgXzsWFjjdXaG8g3MH/HcThO1AgnqxHG1WEOWePzEcblEUMizWyNsXrFNMIYG03QWNxz30GC3GViNPbm7OnEH3c9huUG/ZYjwygITfPPOp2d9tfowvY33z9wxy3mvwRGWI7lszE2XjCzEYqcm58cxH5ThBXCyhgcaGY2zrEhwdiPVwmDKlE2EdprmoXGYm5gUa69yTzusLECjMhxHLbpCuVZl2EdHAdb2zv+PnBf3FDFzKzGWBRxQwyGlvIdpfW/7zah8ZobIxTYaGJS+DKuYfxvejbGKde4Dh6txsSOoclSvnyZWcxqQ1kkqb9Pzh0nEfZbbno2l6n8z86v/ZzLjYYStGHWl1lYr9z04KjoLxtCCCGEEEKIQdBiQwghhBBCCDEIWmwIIYQQQgghBuHI4qsN9PzUGnc9gXubjdd6bRgix3NAd7lcel1whVAeM7N6w5Acf46y9N+hrHW+F2okC3hFxghjWdfUkXuteduE2tkU2swSOupV5bWKC+j209Zr79oy1EeyvBusJU9sec1lDr1elITaZIYlVUEC2PFo6IsRyhi63zgJNZJlicBHhLCN4aOJoP3cPX2FO56UYaDaIfSzxZb3FTHbZ73y901/hplZtIGvA0WcZb4sKvh3sp5wrxyBejV01DkT0qB53sB/UTVh+5svA/OSO1yz/9NTlIYa6DGCAWfbk+AzxwU18xnCy7IkvP8cdbVae615hPbBcM/1yuuLNwhKNTOrMW6mEBDX8DEwDCphmqWFY3HX8Njf+D13+/GJwW5mZsulH4vPnttzx2V9lzve2vWa+vHUj6FdEl5jNPLtg/NUg3mMnrQ46vE7oQM2PW3/OFgjzG3cof1hjjEzS1CPLcIZO5RHDN9RDvPEahXOwS1C1XBJG8Pr1Ha+nzBI0MxsCT16jWDACH4p6vLHk9ALl8MPMJn5eb2Fn+IAc+xs6p/jmquvDq6xtePb7Jkz3lsYjNXoJ3nWMwfD99H0pXAeA3w2QzDsZhV6CEr8LIUXMO38/JdgHiox3GV5T5jstq/7Kd7XMszzTeffK5ersDxbvFcWuK/53I/j011/X1s9wbppSm+Sb9OTBHMwggLHCKDO8nAuPHfOfyZGPxlPfb+ocQ+bnraV2aX791HRXzaEEEIIIYQQg6DFhhBCCCGEEGIQtNgQQgghhBBCDMKRBfcR9sRfrRbuONhD38zqCvrOCHrk0p9js/afz7BnNXM4zMyqymvn6NmYH3p93t4Fr6FMevbjns68rm02816HtPBlMdv1GQ9RFPpA6jnKYunvu5h6jV9uXjvXHvqymvN8ZhZDiz3K/X2kEEDOsV/yeCvUuUaZ1xluKKK0ULc6BDH2uqd+26LQ+3BiB/uCQz+6veXP0WLtXW0urdk1M5tX8BVtfL3k0FVuoNGt1j0CyA7tBzry+QqZBwvoYptQd7k7pW7a90X6p+j/oVa2a3o8MuiLk4z7iPvnWJbwEhSh5jybQOObh3VwXGTQs6cJsyXCsYQ+IOZmRDhHh7pmZkrV9Pz7EPfmb31fqNZ+7NhCW1j26PD34a+glDyNfP2jKm21DvtjHPu2n2S+vg8wNk9P+s+fuPIqd8yMArMevwo0yDnaZJGjvHsykjp4Cvra/nHAiAH6wawnJ+kQ80a18OPVKeSpFJhzVws/3q83YflU9HNGXjdOb02KDKmi6PF7QiNfo4GtSv++wUyuq665Jjhnufb3HsHDd4AcsBJj82zi21vThffNGJIi98/OcXUBP0ZV95wTYwjHjOMixtiVFb7M8yS89ymycIqJ931US1+PywOfAVSgv27tIP/HzLZ34I+IkIeE/KwT9OSmYbZEvcG4XMLrha+cgEcj7vGT0XeUYVClr7JEllELf0vbk3nWwHcUo46S3Jd/By/mmAE3ZjbGfY7z8NmOgv6yIYQQQgghhBgELTaEEEIIIYQQg6DFhhBCCCGEEGIQjiz+O3fhgjuua69vHCeh9jyBhm8FHfC69BrvfXgyJtDkUr9nZnY4P/D31Xhd22rhr1lCIxlt/D2YmW0q/5nzZ8+6492dXXe8Pth3x20U7rdfJ15HWOyccsfTLa+tq+Zer1ceeO1tkob63PEEWRSHXmv36XvudsfUP+7th14Tw97QqxXL63g8G3zaPOdPQo34uIBHCHLjau3bcAYvThrDr7IOte2bQ9/+usTfRxQjHyX29Zy1ob9iU/tz7KPul8jmqKEzb1dhFkNU+7oeQTddYfPsC3fjWWufH2Jx2P4mU/9sWyPfXyv09yV0/Wke6kWpSu2RjB8b3BM/QU5N1/Rof6Hvb2P6gnz9N/CcVcj0mffk66S4rwjD+owZP8gwOFyG++PHGGtz9A3q3eMc+UZ1OK7uQq+9tbXrjht4T7Kx95BNdv3ns55coBLj0wblVyOfp0NZxT0RBhEyaaxHK30cbNC+6J+oaj9nmJmdOwsNPIqsQ3RCgUyCGnMhPZBmZmu08RLenBK+jy3kUlU982U8xnhjyJtZ+bKIMVZH4zDnYDTCfWKczPHsV1/tPUIJ2sGKJhozi/Gs/AhzTAztcdPjt+OwUnfh2HsctJW/kbJG+QU5EmYF8k5iZJ0U8PHR7prFvsx3x8z6CPOy6P3LmDcG782iJz9r7qdca/G+UeC+JmM/9xUztl+zGvP6Bu+eDeZ1ZofRt7qqwjE2gQctKVHeOTxrqI+sJy9vhnl9dyusg6Ogv2wIIYQQQgghBkGLDSGEEEIIIcQgaLEhhBBCCCGEGIQjezZWK+9LyKj9mvRkNEAbzH3BR5nXbh5g7XN4AG1xFGplFyuviZ8feA19U/mL7szgjShD3dtq6Z91g89EkdfvrTfU/IVruAX37F567evBOV8WDfwEHTJJrjgZ7jc9np52xxf2/DXq0msuu85rfneueFhwzgra63IV5qkcByPsjU3tYdSFWvaogT8Hz9LSEYDeMBt5bWLT012WUy8yjfGddeXrnTpMi0LdeVb4ur2w59tbiT3nI2QzJD3n3N7yGuYIbXSJ3JfV0vejClr4DBpVM7MWmQbWeS3tbOafa43Pc+98M7PDwz13fGL3iuAzxwXbS8zhqKfcG3gGmJliyNMpS++VqaATr9vQF1JhYJ1Ad7uGDnwF3xr38TczK5fQY0d+fOpGaD/w31y44MdQM7M1rnv6hPetnTrtj/NtrwHv4JXoAieXWYU2VXJsxthNr1LU9IwjyC2Jez5zHHTm+1OLffubHkMTyyiC7rtF+yoDHwg8BXV4jU2L/AC8C0Tm2+wB2nhnoU8hhR9qhnM2yG9oW3ofwn6Spv6c6w18kMypgvaf1V6Gl7AIvoa69eXNrIo8wT31+AJZB/llyhqKYaio4NVZ9fQL5iIl6LJsn2N4MjJ4IEdZj1cQ5+iQ7zYeIWMK9bbueV9L8ayMN4oiP5alyAxi7otZmM/T5L68Nhs/xi7oz0vw/haF/WY288+aM8eJniCMqWkczmEJ+s39zXnRXzaEEEIIIYQQg6DFhhBCCCGEEGIQtNgQQgghhBBCDIIWG0IIIYQQQohBOLLTo+lgkq69kWS5DIPEOoRFrfcQDFj63+cIPclh5styb6AxMxvnu+54hICrDQy6KcKqkjJcb3UI5qkZ4tR5k00Mg9JmE5ZFi7DBw70z7niEoJkOprAa4YXtLCyLCqGJFUz9dePrbI3yTw72gnO2MLBV1eUxR85gcB5fgFlyE4ZKRgjM2z2x445PnfKG+uXKl9+5fW8grLrQEbjesC348qkTX08pTNPjIjSSZSNvhvySR32JPyfa0jj3bSft2UghgQmz2fhnWS4ROFR5sy7j9c5hIwYzsw2MyqvEH0cI72pb32+SOAz3YmBdj5f52FiufHvIEWQXdaG5jgbcCA7JLrq06Y+maG6MYGZWoe23qOsKhtwaYVw0VZuZVQzwwgYXi5Wv/wUCpvZ6jK4rOjPRzidbNBbDHN/4exgXYXuBr9ja2jeYGOZGmm+bNhxHrPV9Oot6PnMcBNmCvjzHCG80M+tges7QfzqYPxcw+luMjWCm4UYwqwNf1zR3T2BabVe+D9RtGKrGjj7d9sbhZOKvMT/0c11CJ7KZRehLMYzrCfpii5C1tsZ4NQk3aUkQftnF/pwpBzDMUT37P1jTMNwt/MxxsLXt58+y8vfVN4505sfEqr10yOYI9RZjE4T9g3BDn8PGbywyHiOAdMoNVPz3l3vng3N2gSEcRmoG0GLzmeogPKelGOsxP2aF72sZXOk1xp2sJ9h5hDGRwcTrhR/L2JaSNJzD2Ebrqqe/HgH9ZUMIIYQQQggxCFpsCCGEEEIIIQZBiw0hhBBCCCHEIBzZs7G76zXcKcLJsp6Akf0Dr6NcwsPBfJYCHo16gxC2JvRCWOofYbNCGB78FKOJ17CdPvXw4JTnzvhnuYCwmhba/hJBR/ko1M7G0Fo30I/ynCnWgXmGgKs2XCeeP+t9IMu5D/Wb7XqPwiTz+rwiC/V6NUJ56jb0AxwL0HpOEbjUFwx16gofAMcQuQvQat59z547PoSvIRqFYUop6oWa3dF0138Buv6tnauCc04RXEddeYw0uVMnT7jjrAv7yf6Fe9zxEtrXnW2vxV4gdDIr/HNGhdfvmpk1CMkaT/136B0oS/8cBwjxNAvrdVyEXqVjAxr5Blr+IPXLzDoI7RnAyJCvhL+HhjZqwv7XQj9cIRB0Aa9JhDJNolD7W2L82Zt7XTS9W2uMgauyxzeU+74RtFKOs/AmpUto13vmnBbn6LpL641LBGf1af1nEwTIrXuE9cfAGKFeMZ4tiXs03JNL+7ka1OOmZICc72/08piZdQizbNF2FrhGlsHX0BdGiJBWSslZJ1Xp73O16vFNwtvEwLMW/s4OfsUOAZ2bOvTuZBj/W+OYAV8Iwgf7AtMyhB8zHO64gMXOIoSHRjQ6mFmN95QEz7eq/FjVot5j+HgP52H7a+CXyPEes9zx/SRFP1mVYVtB87Id+KE28Dp1aPNN2TOXwfMTFSw/9AMEkm5af87VIvSvlBibOoZ4wsPF9mk9QakNA4CZzn1E9JcNIYQQQgghxCBosSGEEEIIIYQYBC02hBBCCCGEEINwZM8G95xOUi9qa+pQd7mGVnMJ/d0YGnhu07wqoa/dhBo17tt8cOD1yaOpz2eooVGbjiDOM7N45L9TNd4LsTn09xFjv+OiCveYH2FP+Snuq8V+5gl0maPcfz6Ow6rLZ15HuHPKa/l34LvJUIfcc93MLIbGr5iEvoXjoEKeRZH7e736qquD72TQ93/qzFl3PF/6rIDxxJdpjn3/l1XPHtSZr6fx1LeF2S5yNpAlsb0dludo4s+xwN7YHXT+hgycpunLCvDlV0LbXq69Jv/CBe9nidE20pHf997MLI19e9o77/vi4eGePz7w1wxEwWY2Gfscktk4zCU5LhrsCW/oo22PlDViXWG8Cp4YumdYOGzTcxHq7keFv+Zs7OtuQ919jwSceRS86tbWrv88Mn6a0JFhk5kfwzL04Qxa6xxelAhjUdVTFlQgL5B5xKyFFg+f9NgxcoyTbXF5NPOjDG0H++737X9Pz08G72BCL+Hal9cGeSlRjy+kGMPPhTZfYnzKc/osw0JnW2C9reHJ6JD5sK7DssgwPk0nfnxfow0bPBvW+XMuF6Eufw3fBzvwCDlfBfpZFIdzTIJ+woykYwOhDA1e2JhpZmaWRGhflW8/DTwGrDV6WhaLMN+JOThp4ttjCa9vgSyKug77c4mstXwLAzG8mnVCX0OPnwfviR2yi+i5Ws19+9qg/LMszHnZNAt8xrf5DLkvy41v87NZ6Dcu4LWLrec96AjoLxtCCCGEEEKIQdBiQwghhBBCCDEIWmwIIYQQQgghBuHIng1mXhxC473CvvxmZjE087tf8gh3vDjY88fQIrbY7HjVhDrMNfZJz6Af3T7hdW3TnZP+mj17LB/MoTXH/tyQvQUKtrgLNZU70FEnUEHn0OOV8KussRd+X1kEeQupL3/uId9BI7gsQ69JYKShBv2YKJCrEbe+njc9Gt29A6/vXCODpcL+3BP6aCBPPr/v24WZWZxxX3rfnpqV72IPe5j3luxsh7rzC3ufdsdJQ62sPz5Y77njehO26Wruy2J+wWfgJNR6RtgfHn0gTcOcDWbBLDd+TEihyB3D75J0oWdoDI9GdJliXszMyjW0wRg9i1HoJymQuVNjb35mqDDHpsL41HVhAdRrX3fTbX8f+Qj79COnJWrC8WoJDXyL/fJj7LE/mfrnpB/DLMzZ2J56zXyGMTLN6Q/w91T3SNfpJSxQJTXG1bZC+fYYWFhH1pNxdBwwX2dM/1wa+r86aMm34ZuZwtMRw4e0WPg5YXoi1ImvUDzMM4rhTCqRx9P0aOa3t7wnLOn8OTZrP3an8EIkaZjHk6N8WvgpKvStDl6oCbXrPZkYZUMPH/oivG8YZq2swjmG0VYFQyCOiWiDDLMl5tyeDBZWLW1WCd57UnhWItZZz32t4LWpUW81coc4z6xWYZk3yLxI8O/yCZrXEu/Hi3VfFoVvw4iwsenE31fb+npO0d7qnnE7jv1JI7ydxniPjJD7lSRh20rZ7iN5NoQQQgghhBAPIrTYEEIIIYQQQgyCFhtCCCGEEEKIQTi6Z6OGphtaT0vC/bcN+wo//KovwTm9fv1gf88db0qvtTt3913BJebQ0TeV18pl0HKOIuhJx2ERJJ3Xiy6XXp++gSa+gCZ6tut1sWZmi9Jr+sbIQmhX3B/Za6AnyHxIe/IGuGd8DVFzBK3xdMvfZ7MMtf5Ny33pL88e303t21vV+HrbPwj33z5A2zi75z0EC/iM0sx/vqz9NS7MQ21xjm2pp1PvCcqosce+1vt3fTI455m799zxeOu0O26RxUA/Vbn0fgwzsxT+nCLBHt4b/50ImRI19pTf2/tUcI0o8W00hm66q337miA3IKY/yMxy+DyiHm/OcdEgI4NDXkwTR8/PMmiUjRpaippRb+tV6KuaL3w77qDlzTEGpmy0UXjfU1guCnjjptCicz937slvZtZCd09dfjGFx6zwz1FiPijX4Xg1ghA6Qp0t4V0qUZ5xEXpN6LtpejxRx0GH8hsjI2re0zUOgnkFGu0GHgK0V2ZIdT1+xBx+Okv82LGB32sDTX2ShWXOy1Q4B/2IbG9tTxZACf/TpPDj1WzL+1EO932/or+gT7tewteQQqc/HSP3C36gdU+b5hzc5ZfHs5FhLNpgbot6xu8092WWT8K6/lwKeEJz1HPThc9+OPfnLA/pFURGF8bDrgnHKkxVtsC71Cj19dZhvuwZ/qw1/ywl+nOHHK+6RpYdsmXqJsy2iwt4fzuOofCs4Ua7HlNk0/pnY97RUdFfNoQQQgghhBCDoMWGEEIIIYQQYhC02BBCCCGEEEIMghYbQgghhBBCiEE4skGceS0ZjDxRT9hbDiNikngjz2zqDVl56j+/qRACNvKGLjOzOUxcFYN4CpjqMhhiqtBkM51582MCU935vfPumGFxdYmUIzObjf29Fyj5vX1v0I1hrMoQGHbqtDfXm5mtYE6zjX+2UeHNaQzKG/WsPVmvZV9WzTFAk9L+IZ61Do2zJY2JMOOtlt5YHcEctT/3DxtlYZDdeMf/LIloCIYBcH6PO947ey44596er7cLuTe1bmhWK1jPockrRbrZKGegnu8nF87DjIs2XfW08dUahm80p7K84I5bDCrpKCzfkyf8z7ZGYXDZcbGp8Mwwd8dJ2AbZ5mK4ytnjuPFGirGnrsK63drxYZ41krQinLMYwaSZhQFoBRIt65UfZ8cjBFRxw4qox3SJcyYMlIPxMENw4AIO6LYOx+6qQvgpAg9XCPFrO9/HV5uegEME2FoTtv3joEW/r1Z+/GotNM/WmAPWCECLEl+mTePLg3Phqme+nB/68tmgfFaYx7Pc9+HxtGfeMQYY+rlrBHNyA3Pyah265asWm03Evh+w700nvrwLDGjBpghmVqH8RoX/TI7jGvddN+EEu8Y8tliHm6EcBwk3GSl8PVatb49mZsXIl+kEm0AwNLLpGNyJcNmeMOMo8j+rsMnGGvNMiXeJvCejLp/5+4zRNjYwnW8avI/0QF//Bht5rDG/RJH/QkRju4XjUNNxDvb33eEc3DCCQcZmZjXKs23DMeAo6C8bQgghhBBCiEHQYkMIIYQQQggxCFpsCCGEEEIIIQbhyJ6NFOEqMfSOeSj7tQYatL0LXms4R7BYnECjFuP2uvB2T+z6wLM8yMxCiB9OsVmFWrudBHrR3H9pG2F4Z+8+444Xe3vBObdO7rrjDrrBJPfa2C71ZbFae53cufPhNSz1980wm9XKa2tjigh7wlo6/KyvvI6DDlpNhvjtnfd1YGZBIFoX+TLsUK81tMUx2kFGo42ZHR56TXh6lz+OG+/FSVDvi/1Q/3jPPnXj/jnOHfh63Nn193X66iuCc84Sr6/dhv8pprcg94FrawQgUktrZnZwiNCsnOFJ8JogDHOyFQZVTuDRyJNLh0INCT0CNfSt6y7sGwkHxgQho7l/nhjlyuCmPA/b4Gjsr3HhvO8bFeo2z/34RR/JZ/E/ayN/jRb31W18+yh6Qkcz1N2m8n1jU/rxqELYVo35pO1pg+Xa10GFAD7eA+wt1jBU0UKvTtxcnmDTDnWSoN6mozBMNhv7/jPCmGjwCCTwycym3tcXVz3l03itPoNMR2xeGeapJCzPqqIOH14neOPo99naCseJNNn159zAH4A2vYXgygTtIPBwWehrYJhqVXqPwmqJINkyHENiBhSyDo+JpkI907fb49kwhO+meAGbTPxxkCkXeDbCMg+yVDFv05u5Wvs2nOdhec7gVSoQZhzD6xC3fnysesytG/Q1vt8m8AB2rR+7xmjSo1E4F9TwFS2WDB/0n2d/L8bhGMIw3s3m/hl39ZcNIYQQQgghxCBosSGEEEIIIYQYBC02hBBCCCGEEINwdM8GzQ7ME8jCdUvVea1c3WD/d+jL6hJ7oEPfngXiPLMU+wg32Ae8w57ALfap75HoWg4tYgK/yvbs0hkj57IwC6CDVjjCOVvoDGM8a439k9c92s4prjubel0+MyGKqdfldz16yA28ElWPTvU4ODjw2SZL7M+9XIVto4FnxaCpXyOXpCq9hryFvrHserIlStTLyn+pXPvjLWio54eh2emw9O0pw97YFXTp5874464O77M96e+jW6Ff1L6e77p7zx0vSuzXfxju9b7Yx3WRo5Ng73zqdRc958zgFUh3L9+/jyyRUZAX2FO/x7eWwNtGuXUF/WvQBZlNkYTtPEkxtmBsXq+8Lnwf2USnTvl6MjMbwwfSQau/XPnjDNkuaR7mgUTInKkxVs8XyGMoOI5C29/TH1t02jxDlgLG4bbzPpENPB5moc6548BwTGTIScqRVxGNw3kng89jhHmlnCNDBBNi3fr+1ueTyTHvtNCeFxNfximyr7IeG9Z87se0Q4yzY2jLc+QgRD22BvpM1ytf1yvMMdXG93fOfV0XjkVZwr7nnyNFNgdu26azUDM/RgHFaZjvcRw0PVlWjjZ8J6krXx5NC68DivAEMoNi/Hv4hf1wjjicIwMI80rVwKe19o0jisI2HaMBTdHeDpHjcm4P3qe45x0Q14ngXTpxAvkz6KspDC1dTz7IClkytvLH9BDlaK8cL83MlqV/j++1+B0B/WVDCCGEEEIIMQhabAghhBBCCCEGQYsNIYQQQgghxCAc2bNRQ7hK/XVC8aGZZTGyI/D7NbRgi0PkQFDPt+09Bn33VWEv/BheB2rxqjrU69196LX7vI+U0mHsB799Osw5oBZuA81fAqlwjfuMRsggSUNtXQQtZzr2no106j0ba+wXv1mFmsxqA110e3n2+C6hF12sfdup2h79bOHLI0eZMjsmmiLTAXtQQ1JuZmbz+Tl3fAFZJnXttZzVKZ8Lc7AM9d9ZsevvE/kek7F/ruXK61gP9/w9mZkdnve61jjzzz6aeE3qp+/xfWA+h355Fe6pvln59tSe8M9+Anvfdw37YlgW87n3G5zc2Q0+c1wE/i/cb9vjp2A2R45cjRr6/9XaDwQp8gOKLNRrtxtkteCcNe7hYN835FERmk1mE5+v0MA/x+G+xDUWB779mJmNkBESQz/cYh96a31ZjeFdaqIewx2zddDGEnj8uI9/nYV1mOMr6ej+7TP/V8ffCHNryoXvK2ZmDTwb091dd7yz5f06VenbBtsn52izHq/NxM/7McbZAoEB4yKcy7LUj8VTaP3zEf0r/hyLeVgW/FkWjP++LEq+W8S+jSdROOckyJWgd4SeqxR9LynC/g1pvy2Woa/oePBjQAXPVcaQMzPr0B/XaF8GH1dlvu2M8E6TxOH72ghjFbNOxshLWc39fW+WYVuZwTszgb/1AP7OHO9aURR6NhrmkCQYUwv6etEv4KeaTno8zK3/2WqJ/gzfdIw2vNmELzltRz/K/XsH1F82hBBCCCGEEIOgxYYQQgghhBBiELTYEEIIIYQQQgzCkT0b3L+c+21HPRtbR9gXOIZro4IGuqqhRYRGbZGF1yiwF3vLczbwcEB3aEmP1n/qdYIxniODVjbZ+PuqLbzPJPO6waryGtTtqT9nhbLKoNWOqD02s02FOjGv+aMmvm2owezJ2YCGvOrJcDgesK9/irZUhrrLCppvBiGMR/Cw4BT0IZ2ahWVeTr2GeR/65QrenAvnfPkdLEOfDDWSWyNoOWu/n/kG2tkLy3C/88MDZNwgb2CCDJYzZ+9xxyU8Gmmvdwf6XOQA5Kf8NaIIe673bByeRP4+i0lPmMUxMYLGmz6sURbe2xh1F+Zs+HJtKmhmG18mdRZqlhn7ELOvYNyscc0VG76ZpYn3nU2ge47QbmtofeOeAKMc7aMY+fbB8SnCGBgjV6Pqwr6TdPB1YExkzsEUx13PfFAie2M8CfXYx8EKWTfLNTxQSeijKlEvNTwBWzsn3XGKV4IVvj8Osk/MFkvUC+7z9En/nR1kFnRdj04c83ZKb83S+9TyyJ9zuydzZILxfIGMkQuHvp4j+CvoKEt7+jtHML4XBf0f82nfC1mMCzddOAYcB7TU0aPWReH4HRs9LOhfyJ6oK2azIYeo6pkvW3o0fN0zs6xD/luWhOXJ3LgO9TbCu0Qx8p8vq/CcHeY3ntMw7zPPZ13h/bjs86n6MWF72/tZ5gv/7B3mio5ZRmaWos839zNrTX/ZEEIIIYQQQgyCFhtCCCGEEEKIQdBiQwghhBBCCDEIR/ZsdNDSGfY/tp79jyOI0mKIDyfYb3tTYq/sQ+iZ61DbGQXaOX+OBjkH6yWeg4JnM2uhWxuPvO4twx7fSeTvK1qHmra69PdRQ5sdQ/84y/1zrVZeh5/37LefFv4++WgV90u2S2ukzcwqaCbXPfkKx0EMPWgaM3vCa8rNzM6c23PHn/7UX7jjLWg7O3hYRoVvv1uTcG1On0sH1W7Qphe+PC/Mwzad5djb/pzXFueRbwt15X+/d4jcBTM7WFIg6p9lPPf3tX/otbEZchaSnpyXYuzb7PbM71tP/8XhATIoRqEGemvm9y8fT6fBZ46LEpkzGTwb1qel7i69r3mW+PZSoo/S+lBVoRciRhDQDHr1dYyxB2P1pM+DgGcpmPOD54igh6fPwcwsx32O4Dub5ng2CtwTeE96fEMVspuqEj42DIoxxtGSmSVmtl75Psp8i+OixnXXmNvGPRkNsxS5I+jHFTwZnFfihL6/8L7O7/syn8LfM0Uu0OndE+647nrGq4M9d8x+36J9rtd+vMp7xqeHXeEzjrpTu+74LwrfHveRLbQq4eno8S+m8AcwDyoL/AO+PY5GYV/skI2Q9HhzjoND5FO08FvQ12tmFse+Hmadfz6+r3UsUnjUeqJNrEEb7jBO0H9RILikLzUny+hl8HNuC+/IcoOz9NxogbysjPlG9DhjnM5y/1xNUFhmGOptNPLXTNC/N8wBa0JPDPtSnIb1fBT0lw0hhBBCCCHEIGixIYQQQgghhBgELTaEEEIIIYQQg6DFhhBCCCGEEGIQjmwQZ+BICrNfEt/3uiVGqFODoB6ap1IELPUZxOuNN7S0DA5ce/PsZu2NPtNpaMhqsAZLY2+qyXNvWl3DLDRKesIHYTKPDvxn9g/23XG5ppEdxtFNj0kMl52fP++O65pBjP64K8PynR/68irL0Mx3HBS5Lz8GgG3K0OaVxr5uV4s9d3zhwgV/DZhgt3e9KZFBi2Zmq7Uvw7LxlZBH/pwNKqmswvKsafzCZ5Zob23tfx+loYl6NPP3wQ0KVggfbGBEHmPDgoed9mFgZmZXXnmlO96Z+GtOYFzeNDQhhwZx1kldX75QvybyZRKlfpyIs3AMpJGVIUpZ5se88ZibPPg2l6bhNSKMVzGM1dOJN+zGWwjo68J2vX/Bjx3pCf+dBGN1gzbIzRY+e2F/WK98mGCO6ajCOfMYoYqFNxqbme2Xfhwdj7zpN8GcQrN314blW2Os6ZrLMwbSlN9gToi6cAzM0H/4/GyyDTYiSbk5ShoGt83QZk+f8mPDiR1fT7u7/vdZEb6GMKy3wrPWeBeoad7uqaMaJvLxdMsdf+mXfYU7XuLzd33mz93x4TkffGpm1nR4L4K5tsGGK6OR71djmobNbLHwddIXp3octAzMRN/ZMJTZzLhnQRA8jNDDBTYLaLFpRNPzypoitJTHDDVl0Oqq7QkHTdDnY2yQgtfGImWt9AQ7o+tk2JCA+2HkCOiLEt82Fiv/bmsWbsI0RthgFCPkDxv+rPjeaWZJhIDNnvfbo6C/bAghhBBCCCEGQYsNIYQQQgghxCBosSGEEEIIIYQYhCN7NiJo0KjaautQLxohpKSLEGgDfWyGwJHZzGvPo57wnxwa5g661Ria6Idd8Uh/zh4d/nwJ3WqCoCPo3pLca+9yC0OfcpRYgUCrGULpGGLUQIO6wj2a9eiP4a/YHHqN3xLBW+t5qAFk4g1DiI4NBvWkXr+YpGHboD7eEAy4XPvnX8EbcQD9chKFbbxFvVTQqlPeuA8PzN5hWI9bsx13vEa9NfAhnT7lPz/aCnXVBm3szpbXK1OHXqLfJAj36gtw2j9/1n9m44Wtjfn7zKEH7+mKtlr58jxchL6i4yKHT8HQHroofIA8RyAS2kMEIS/HROSiWpGHQ3aNpLUGwW0FhNPU3HZNWKYt2vFyDf8EgifrloGH4X0mMAgsF96zQU34psIxxrOspywSo+/PH0cxPVN+zOyZxoyzXVmG2vTjIKLfBP9WSB+DmVnW+bqvGEiI8ZzzadvinD26/O0tf40pwj0j+JZahOGlozCMME/odfDnyDN/jS7zY0ka9fhA8H4RsW2k9ATRX+X76ond0LcW47rnDg/d8RxtPsag12PJsgL1Pi56QjiPgQZtZY1+QK+EmVmSIHxx4+euznyZNxj/Epgj6p53K76MxvAVdfAxNC08jj3TZYWxPMc73hbGng2DBfvyXeFrjuCFCBMN/T0UeYHfhsGVhn4S06OFOSxewUPT4/viO1/WE5h5FPSXDSGEEEIIIcQgaLEhhBBCCCGEGAQtNoQQQgghhBCDcGTPBjXaDY7bNtR6bUq/Zy+zOHLs3Z9RL8p92XsyHuYH/hop9HpbY/pAvFb9YP8gOGdFbTBKqVz5fZmDfe2x77iZ2XoPmRcLf93tE6f9NaHLrOGv6JqezIelL4sKOvx66Y/X0MNv1qHml3rbPl3wcRDF/j4aw37c1D+aWYo9ure2sYd56j0ENfZAZ0YC26eZWbXxZRgjv4L6+br2Gt4+nwL7SUKhPzSTLXTCdU/b2Nry7Yn9Immwp/eOz5LZlMgTWYT+nlXj29/2tu9rCbxP47H//faJMDchg041H10evbKZWQodb4Z6GtHTYWYN+m0DE0bCjejRIDJ4Otgfzcxa9ElmKaSZ/04S6J57GmHk20OFNpUGfQPP3qP9pV9gCZ3zEuNq2/n+OpkgqyjY296sw7PUyOrgPFYhe6iu+sTW/jvRETKlhoCa+aCb0+BjZimyOQzZVsuFH4+mmJMrjInrVbgPfxv4uZC5guOKuUHLnpyD2Len7Zm/rxYZUbtbfiwPXh7MzPCdCm2hQ2ZXh/FsgnyG9Tr0r7A8y6X3aMz39/wtTZFFNArrcAS/QLy7E3zmWID3Ic0wVvVEINXwg+UZPVT0TGG+bPyz91gFrcF4Vlb0HSGTi1kfFpo2OHo1GFfoR47hV4m6sP1xZMly/5269vdBDww9qHzX/eyN0K8CzwayrIoS43zPe3yL7LCqJ0LpKOgvG0IIIYQQQohB0GJDCCGEEEIIMQhabAghhBBCCCEG4eg5G9gbu4Y/oEfpajX07BH3d4+or8V+3PB81D2egmDf8BHWT1OvSVsskS3Rc05uvNxCf9dh7/FqBV32JvQPMFdjCxrTGhroNfTLa5SFtaG2k3t8l6XPcGgq3Ce0i0mPzrDCs9SbULN7PHgt4XTmn3XVs/V9Z9xD2reFyZS5G/4aG2y6H3gnzCzytgNLoUmNoZk8eXLXHVMzbmZ2sO91v7tT+HdQj2kBPXNPVkCwT/i2z3XJoEkdIfcF0m1b7/scGDOzhDrqk96HxDY/hX9qC9kfZmb5GHk020cesh5wqJBtoT2PeuqSm8AzV4MejBE8HAk1zj1ZHg10zh0aQANPR8vRukffnufQPeMamw0yfeAXaHp8Q/ynrRWG3nWNLB2MmU19aS22mdkI+98nEfOh/DlKeKw2adh5Svqyerw5x0GC8uAc0KxDMXWdwAeDMYwabmZhrZZ+LMricI/9Ebw03Nuf2Vcr5BfN597XYGa2s7PtjhN4TzYYAzv4knosQ8H8t4HngrktFfpNXPmTLueh33MJv2cHT8J44utw94T3xu32jIHrlT9ns7qfovm/IrMZ9P0Y72KGSplZC4/QCJ6ghOMh5qGwr4VjbIV30zXeUSqMwUlKc0l43zX8rgnHVEyI9DBHPTkvdctcJvYT//kOOTAdPc1V+J65hkcww3vTet+XzWru++Jy2eN9Tf2clPU821HQXzaEEEIIIYQQg6DFhhBCCCGEEGIQtNgQQgghhBBCDMKRxVcd9ivvoLWj9s7MLId2M4EoLcNaJ4K+dkNNWhX6KzLo3mLuqQy9bdt6fWhDz4eZRbHXqFXYWLiDfnk+95kDe3WYQTCGrnV77HX4JfSja5Y3NNBx1LfHvCdN/TU6eDJSZFX0eTZa6jKLUKt/HFD7OZt6T0HUo7s8OPCa2gz78o+hER9P4NmARrduw7ayqS6dcdChzU9n/r5Xy7BNnzjhvQ0baJzTFH4LZFE0Pd6BCbSyI3gBxsivyHJ/vF6jrfT09wLfoTY2gf42gp60rfxzmpmlW17TnCQ9XoBjgn2hivw4cGhhvx8Vvt8n8IPF8DpEMTMLmAsRamo33PgcbY4aeovor+gRuEfIL8Ke79z/PpBS93jKOvyM41Ge+2ePO1wjyJEI2+AGdcR2HlO/Df1x0bN3fYd95ll+x8V05vtCW8Ko1vNPh8wdiTP/fOva13N36Mcj+i4nuAczs50Tp/w5EnoeMa4iX6U3M2rh5+muneATeP/IfNupm9DEV8MkVMIHuVkzfwH5Dbjvye5ucI2tzI+BqxJeV2R57Gz5+TSlL8fM6s2+O26bMJfkOBjhnWVkft5pg3SKMAuCETX0NEbB2MUxI2wrHYbEDG085zyEc5ZV6EON60tfl3k8MfwVSU8GUMTx7D7e6YJ3L7RH5iuZhZ7aqGHOkP98uWQfCP1ADXxHSX7/sq70lw0hhBBCCCHEIGixIYQQQgghhBgELTaEEEIIIYQQg6DFhhBCCCGEEGIQjm4Qhy+HYW+RhcbFroWxGma1GgFVHcx7XePXQkWPOblGoIshuKc89L9fBYY5b+A0M2uNQXb+HCkMl1l6aUOcmdkSIX0ZTHQNzMg0rzUMVeRzm1kGI1RHNxDMZzXMqlUTnpNBMkVx/8xBf1VoJk5geN7OGNRjNh570+AaJvwNmw6MsinO2dShOW3/EKZmbljAesY1lovQ5EUD5WLug7U2MIbSvDbboZnSrEh9WSRos/nY94M08Z/PYULfmYXXyGCSyxE2OJ7AYDjy10jH4XAUwVTe9pmZj4k5AkBH5u+/6zEst+brKse/79Q43rQIYUMQVNVjZmwQPlmg3Xadb+iN0VDeY+xMfHtYoZ0Gxk48RxBAZ2aWMGDPt9sGmy3wPpF/aGnVY6ZF+axQfjSEJ2yzeRhal+FZsyz8zHHAAMgcYzM3eTALNwegAbnmRiTob9nI93tueGBmVqA8Opq1mTIKI+x45q9hZjabIdQvY3v042619P0mjsJNMjgWbyrf/thvGKiZdtjggg3SzIzljXE2jXzZRDhmgKSZWdv58onj8F3rOFgusGkEhusu6gkbRJllKf9925d5zfEdBudgFxwzK9BnIwRXspZiGLN7clLNsDFHCeM1N7uIg8DNno2HsBkRjew1rrnABje80aoON0HgfU4wB/MdmyHEtgrngpobkBQK9RNCCCGEEEI8iNBiQwghhBBCCDEIWmwIIYQQQgghBuHI4qv5gQ+WYb5S3KNfjKAFTqB9LVcIXILuLYqh6Y3DoJR1SS2x/06CcJb12ms7IzsfnDMpvB6dWuyWendoBgvq4MysYnggk2gilpX/9aZBINEm1G63gY8D2sTo0oFzfT6QjoLG6vJo5hkYlKC8LO3RUUdewzye+mO2NwY8tgw/63n2Uyd3/TlxHw3KmAFsfRYEtunV0gdc1Ruv1USTt7yn/bHDZtQnQ8/MgKEC2s8iDz0ycXRpL1MMvS6Dj/r08vR9ZBQKHyMbeJriGqF0RfhvNxHDD1GuFfwWFYKcamiWy02o003YTlv/mQi2oPUGPqOesbuDP6nDWE7PBn0MURw27BiBjA2C1+iNi1HXG5QV78nMrEYdtfDw3ZcXKfAXWBielfRp9Y+BExi/0iAkM2S98vNEMD/GCOKEN4I6c+rhzcwa6tlRBxG8hFsIwxuPQ/8X654e0fmBn7fLtR8jox7LUIlxdbGAvxNhZTn9KfD7BAOvmW3Wl+7PGfpqBF9q3IY3jiZsRRYGKx4H5cY/C/X/DIw0M2tavHOUCNXEmMD3jRgVWYzCOaLFHMsQzhj+iuDzbTinMEyVnSsvMG7g1YnXNAv9YXXH8oQPDh43+q/KKmx/9CV1bLNwsHBMjdNwXk8wr9P7e1T0lw0hhBBCCCHEIGixIYQQQgghhBgELTaEEEIIIYQQgxB1FO4LIYQQQgghxAOA/rIhhBBCCCGEGAQtNoQQQgghhBCDoMWGEEIIIYQQYhC02BBCCCGEEEIMghYbQgghhBBCiEHQYkMIIYQQQggxCFpsCCGEEEIIIQZBiw0hhBBCCCHEIGixIYQQQgghhBgELTaEEEIIIYQQg6DFhhBCCCGEEGIQtNgQQgghhBBCDIIWG0IIIYQQQohB0GJDCCGEEEIIMQhabAghhBBCCCEGQYsNIYQQQgghxCBosSGEEEIIIYQYBC02hBBCCCGEEIOgxYYQQgghhBBiELTYEEIIIYQQQgyCFhtCCCGEEEKIQdBiQwghhBBCCDEIWmwIIYQQQgghBkGLDSGEEEIIIcQgaLEhhBBCCCGEGAQtNoQQQgghhBCDoMWGEEIIIYQQYhC02BBCCCGEEEIMghYbQgghhBBCiEHQYkMIIYQQQggxCFpsCCGEEEIIIQZBiw0hhBBCCCHEIGixIYQQQgghhBgELTaEEEIIIYQQg6DFhhBCCCGEEGIQtNgQQgghhBBCDIIWG0IIIYQQQohB0GJDCCGEEEIIMQhabAghhBBCCCEGQYsNIYQQQgghxCBosSGEEEIIIYQYBC02hBBCCCGEEIOgxYYQQgghhBBiELTYEEIIIYQQQgyCFhtCCCGEEEKIQdBiQwghhBBCCDEIWmwIIYQQQgghBkGLDSGEEEIIIcQgaLEhhBBCCCGEGAQtNoQQQgghhBCDoMWGEEIIIYQQYhC02BBCCCGEEEIMghYbQgghhBBCiEHQYkMIIYQQQggxCFpsCCGEEEIIIQZBiw0hhBBCCCHEIGixIYQQQgghhBgELTaEEEIIIYQQg6DFhhBCCCGEEGIQtNgQQgghhBBCDIIWG0IIIYQQQohB0GJDCCGEEEIIMQhabAghhBBCCCEGQYsNIYQQQgghxCBosSGEEEIIIYQYBC02hBBCCCGEEIOgxYYQQgghhBBiELTYEEIIIYQQQgyCFhtCCCGEEEKIQdBiQwghhBBCCDEIWmwIIYQQQgghBkGLDSGEEEIIIcQgaLEhhBBCCCGEGAQtNoQQQgghhBCDoMWGEEIIIYQQYhC02BBCCCGEEEIMghYbQgghhBBCiEHQYkMIIYQQQggxCFpsCCGEEEIIIQZBiw0hhBBCCCHEIGixIYQQQgghhBgELTaEEEIIIYQQg6DFhhBCCCGEEGIQtNgQQgghhBBCDIIWG0IIIYQQQohB0GJDCCGEEEIIMQhabAghhBBCCCEGQYsNIYQQQgghxCBosSGEEEIIIYQYBC02hBBCCCGEEIOgxYYQQgghhBBiELTYEEIIIYQQQgyCFhtCCCGEEEKIQdBiQwghhBBCCDEIWmwIIYQQQgghBkGLDSGEEEIIIcQgaLEhhBBCCCGEGAQtNoQQQgghhBCDoMWGEEIIIYQQYhC02BBCCCGEEEIMghYbQgghhBBCiEHQYkMIIYQQQggxCFpsCCGEEEIIIQZBiw0hhBBCCCHEIGixIYQQQgghhBgELTaEEEIIIYQQg6DFhhBCCCGEEGIQtNgQQgghhBBCDIIWG0IIIYQQQohB0GJDCCGEEEIIMQhabAghhBBCCCEGQYsNIYQQQgghxCBosSGEEEIIIYQYBC02hBBCCCGEEIOgxYYQQgghhBBiELTYEEIIIYQQQgyCFhtCCCGEEEKIQdBiQwghhBBCCDEIWmwIIYQQQgghBkGLDSGEEEIIIcQgaLEhhBBCCCGEGAQtNoQQQgghhBCDoMWGEEIIIYQQYhC02BBCCCGEEEIMghYbQgghhBBCiEHQYkMIIYQQQggxCFpsCCGEEEIIIQZBiw0hhBBCCCHEIGixIYQQQgghhBgELTaEEEIIIYQQg6DFhhBCCCGEEGIQtNgQQgghhBBCDIIWG0IIIYQQQohB0GJDCCGEEEIIMQhabAghhBBCCCEGQYsNIYQQQgghxCBosSGEEEIIIYQYBC02hBBCCCGEEIOgxYYQQgghhBBiELTYEEIIIYQQQgyCFhtCCCGEEEKIQdBiQwghhBBCCDEIWmwIIYQQQgghBkGLDSGEEEIIIcQgaLEhhBBCCCGEGAQtNoQQQgghhBCDoMWGEEIIIYQQYhC02BBCCCGEEEIMghYbQgghhBBCiEHQYkMIIYQQQggxCFpsCCGEEEIIIQZBiw0hhBBCCCHEIGixIYQQQgghhBgELTaEEEIIIYQQg6DFhhBCCCGEEGIQtNgQQgghhBBCDIIWG0IIIYQQQohB0GJDCCGEEEIIMQhabAghhBBCCCEGQYsNIYQQQgghxCBosSGEEEIIIYQYBC02hBBCCCGEEIOgxYYQQgghhBBiELTYEEIIIYQQQgyCFhtCCCGEEEKIQdBiQwghhBBCCDEIWmwIIYQQQgghBkGLDSGEEEIIIcQgaLEhhBBCCCGEGAQtNoQQQgghhBCDoMWGEEIIIYQQYhC02BBCCCGEEEIMghYbQgghhBBCiEHQYkMIIYQQQggxCFpsCCGEEEIIIQZBiw0hhBBCCCHEIGixIYQQQgghhBgELTaEEEIIIYQQg6DFhhBCCCGEEGIQtNgQQgghhBBCDIIWG0IIIYQQQohB0GJDCCGEEEIIMQhabPRw6623WhRFl/s2xBc5v/zLv2xf9VVfZePx2KIosv/8n//z5b4l8UXGvWPZPffcc7lvRYgj87SnPc2++qu/+j4/d+edd1oURfa2t71t+JsSX7D87u/+rt166622t7d3Wa7/tre9zaIost///d+/LNd/MKDFhhCXgbNnz9p3f/d326Mf/Wj74Ac/aLfffrt9+Zd/+eW+LSGE+ILh6quvtttvv92e85znXO5bEQ9ifvd3f9de97rXXbbFhjBLL/cNCPFQ5L//9/9uVVXZS17yErvxxhs/7+eWy6VNJpNjvDMh/nKsVisbj8eX+zbEQ5CiKOzrv/7rL/dtiC8iNJ4Nw0P+Lxsf+MAH7AlPeIIVRWHXXXedveUtbwk+s16v7TWveY1dd911lue5PeIRj7C/83f+TrBKLsvSXvWqV9lVV11lk8nEnvrUp9of/MEf2KMe9Sh72ctedjwPJB70vOxlL7OnPOUpZmb2Hd/xHRZFkT3taU+zl73sZTabzeyP//iP7W/+zb9pW1tb9sxnPtPMzM6fP28/8AM/YI94xCMsz3P70i/9UvvRH/1RK8vSnXtvb8++93u/106ePGmz2cye85zn2J/+6Z9aFEV26623HvejigcJZ86csRe/+MW2s7NjV155pf3tv/23bX9//+LvjzrGPepRj7LnPve59p73vMe+5mu+xkajkb3uda8zM7N3v/vddsMNN9jOzo5NJhP70i/9Uvvbf/tvu+8fHBzY3//7f99d54d+6IdssVgMXgbiwcPZs2ft+77v++xLvuRLrCgKu+KKK+zJT36y/eZv/qb73B133GF//a//9Yvt6Sd+4iesbduLv++TUd0rHfzDP/xDe8ELXmDb29u2s7NjL3nJS+zs2bPH9YjiQcKtt95q/+f/+X+amdl1111nURRZFEX227/92593PLuUPK9vLv2v//W/2otf/GK78sorrSgKe+QjH2kvfelLg/n5c/nMZz5jX/u1X2uPecxj7H/8j//xQD7yg5KH9F82brvtNvvWb/1W+4Zv+AZ75zvfaU3T2Jvf/GY7c+bMxc90XWf/+//+v9ttt91mr3nNa+yv//W/bn/0R39kt9xyi91+++12++23W1EUZmb2Pd/zPfbLv/zL9g/+wT+wZzzjGfaJT3zCnv/859vBwcHlekTxIOTHfuzH7ElPepL9nb/zd+yf/JN/Yk9/+tNte3vb3vzmN9tms7Fv+ZZvsVe84hX26le/2uq6tvV6bU9/+tPtf/7P/2mve93r7Prrr7ff+Z3fsTe+8Y32n//zf7YPfOADZmbWtq0973nPs9///d+3W2+91Z74xCfa7bffbs961rMu8xOLy823fdu32Xd8x3fY937v99of//Ef22te8xozM3vrW9/6lxrjzMw++tGP2n/5L//F/tE/+kd23XXX2XQ6tdtvv92+4zu+w77jO77Dbr31VhuNRvbJT37Sfuu3fuvi95bLpd144432qU99yv7hP/yHdv3119vHP/5xe+1rX2t//Md/bL/5m78pr9xDhO/+7u+2j370o/aP//E/ti//8i+3vb09++hHP2rnzp27+Jm77rrLvuu7vste9apX2S233GK/+qu/aq95zWvs4Q9/uL30pS+9z2s8//nPtxe96EX2yle+0j7+8Y/bj/3Yj9knPvEJ+73f+z3LsmzIxxMPIl7+8pfb+fPn7Wd/9mftPe95j1199dVmZvaVX/mVZtY/nv1l+NjHPmZPecpT7PTp0/b617/eHvOYx9hnPvMZe9/73mebzcaNnffyJ3/yJ/bsZz/brrnmGrv99tvt9OnTf/UHfbDTPYS54YYbuoc//OHdarW6+LODg4Pu5MmT3b1F88EPfrAzs+7Nb36z++4v//Ivd2bW/T//z//TdV3XffzjH+/MrPuRH/kR97lf+qVf6sysu/nmm4d9GPEFxYc+9KHOzLp3v/vdF3928803d2bWvfWtb3Wf/bmf+7nOzLp3vetd7udvetObOjPrfv3Xf73ruq77wAc+0JlZ98//+T93n3vjG9/YmVl3yy23DPMw4kHLLbfc0jt+/cAP/EA3Go26tm2PPMZ1Xddde+21XZIk3X/7b//NffYtb3lLZ2bd3t7e572XN77xjV0cx90dd9zhfv5v/s2/6cys+3f/7t/d38cUX2DMZrPuh37ohz7v72+88cbOzLrf+73fcz//yq/8yu6bvumbLh7/2Z/9WWdm3S/+4i9e/Nm9bf6Hf/iH3Xff8Y53dGbWvf3tb39gHkJ8wfCTP/mTnZl1f/Znf+Z+/vnGs752dS+cS5/xjGd0u7u73d133/15r/+Lv/iLnZl1d9xxR/cbv/Eb3fb2dvfCF77QvXt+sfOQlVEtFgu744477AUveIGNRqOLP9/a2rLnPe95F4/v/Zc5yqC+/du/3abTqd12221mZvbhD3/YzMxe9KIXuc+98IUvtDR9SP8BSfwl+bZv+zZ3/Fu/9Vs2nU7thS98ofv5vW3yvtrgi1/84oHuVHyh8C3f8i3u+Prrr7f1em133333kce4z/0uNzP43/63/83MPtv23vWud9mnP/3p4B7e//7321d/9VfbE57wBKvr+uJ/3/RN33RR1iAeGjzpSU+yt73tbfaGN7zBPvKRj1hVVcFnrrrqKnvSk57kfnb99dfbJz/5ySNd47u+67vc8Yte9CJL09Q+9KEP3f8bF1909I1nR2W5XNqHP/xhe9GLXmRXXHHFfX7+X/2rf2XPfvaz7eUvf7m9613vcu+eX+w8ZBcbFy5csLZt7aqrrgp+97k/O3funKVpGjSkKIrsqquuuvhn33v/f+WVV7rPpWlqp06deqBvX3yRMplMbHt72/3s3LlzdtVVVwUSk4c97GGWpqlrg2ma2smTJ93n2CbFQw+OQff+aX+1Wh15jLuXe2UIn8tTn/pUe+9732t1XdtLX/pSu+aaa+yrv/qr7Zd+6ZcufubMmTP2R3/0R5Zlmftva2vLuq7T9rwPIX75l3/Zbr75ZvuX//Jf2jd8wzfYyZMn7aUvfandddddFz/TN28WRWGr1epI1+Dcfu9czPYsHtr0jWdH5cKFC9Y0jV1zzTVH+vw73/lOG4/H9vKXv/whJxl9yC42Tpw4YVEUucHtXjjg1XUdGMu6rrO77rrrotbu3oHxc/0eZmZ1XWtwE0embwA6deqUnTlzxrqucz+/++67ra5r1wbrurbz58+7z/W1cSHu5ahj3L18vknyW7/1W+22226z/f19++3f/m275ppr7Du/8zvt9ttvNzOz06dP2+Me9zi74447ev/7sR/7sWEeUDzoOH36tP3Tf/pP7c4777RPfvKT9sY3vtHe8573PKAbqXDcu3cu1j/+ic+lbzy79y8ONHjzXe7kyZOWJIl96lOfOtK13vGOd9hjH/tYu/HGGx9yuVoP2cXGdDq1Jz3pSfae97zH1uv1xZ8fHh7ar/3ar108vnc3oLe//e3u+7/yK79ii8Xi4u+f+tSnmtln/8Xmc/k3/+bfWF3XgzyDeGjwzGc+0+bzub33ve91P/9//9//9+LvzeziFrpsg+985zuHv0nxBctRx7ijUhSF3XjjjfamN73JzMz+8A//0MzMnvvc59r//J//006dOmVf93VfF/z3qEc96q/+MOILjkc+8pH2d//u37WbbrrJPvrRjz5g533HO97hjt/1rndZXdf2tKc97QG7hvjC4HP/knsUrrzyShuNRvZHf/RH7uf/9t/+W3c8Ho/txhtvtHe/+91H+svsyZMn7bbbbrO/9tf+mj396U+3j3zkI0d8gi98HtJmgh//8R+3Zz3rWXbTTTfZq171Kmuaxt70pjfZdDq9+K/DN910k33TN32T/ciP/IgdHBzYk5/85Is7tXzN13yNffd3f7eZmX3VV32VvfjFL7af+qmfsiRJ7BnPeIZ9/OMft5/6qZ+ynZ0di+OH7LpO/BV56Utfav/3//1/280332x33nmnPe5xj7P/8B/+g/2Tf/JP7NnPfrb9jb/xN8zM7FnPepY9+clPtle96lV2cHBgX/u1X2u33377xUWJ2qDo46hj3KV47Wtfa5/61Kfsmc98pl1zzTW2t7dnP/MzP2NZll1cBP/QD/2Q/cqv/Io99alPtR/+4R+266+/3tq2tf/1v/6X/fqv/7q96lWvshtuuGHoxxWXmf39fXv6059u3/md32lf8RVfYVtbW3bHHXfYBz/4QXvBC17wgF3nPe95j6VpajfddNPF3age//jHB5428cXP4x73ODMz+5mf+Rm7+eabLcsye+xjH/t5Px9Fkb3kJS+xt771rfboRz/aHv/4x9t/+k//yf71v/7XwWd/+qd/2p7ylKfYDTfcYK9+9avty77sy+zMmTP2vve9z37+53/etra23Oe3trYutvWbbrrJ3ve+99nTn/70B/aBH4xcXn/65ed973tfd/3113d5nnePfOQju5/4iZ+4uJvFvaxWq+5HfuRHumuvvbbLsqy7+uqru+///u/vLly44M61Xq+7v/f3/l73sIc9rBuNRt3Xf/3Xd7fffnu3s7MT7IwhHtp8vt2optNp7+fPnTvXvfKVr+yuvvrqLk3T7tprr+1e85rXdOv12n3u/Pnz3fd8z/d0u7u73WQy6W666abuIx/5SGdm3c/8zM8M+kziwce9Y9nZs2fdz+/dHeXe3VmOOsZde+213XOe85zgOu9///u7b/7mb+4e8YhHdHmedw972MO6Zz/72d3v/M7vuM/N5/PuH/2jf9Q99rGP7fI873Z2drrHPe5x3Q//8A93d9111wP67OLByXq97l75yld2119/fbe9vd2Nx+PusY99bHfLLbd0i8Wi67rP7kb1VV/1VcF3b7755u7aa6+9eHyp3aj+4A/+oHve857XzWazbmtrq3vxi1/cnTlzZujHEw9SXvOa13QPf/jDuziOOzPrPvShD33e8azrum5/f797+ctf3l155ZXddDrtnve853V33nln786On/jEJ7pv//Zv706dOnXxXfJlL3vZxfn5c3ejupeyLLtv+7Zv60ajUfeBD3xgsOd+sBB1HYTg4gHld3/3d+3JT36yveMd77Dv/M7vvNy3Ix6C/Ot//a/tu77ru+w//sf/aN/4jd94uW9HCCEG49Zbb7XXve51dvbs2YdGfoEQXwA8pGVUDzS/8Ru/Ybfffrt97dd+rY3HY/vYxz5mP/ETP2GPecxjHtA/Dwvx+filX/ol+/SnP22Pe9zjLI5j+8hHPmI/+ZM/aU996lO10BBCCCHEsaPFxgPI9va2/fqv/7r903/6T+3w8NBOnz5t3/zN32xvfOMbH1L7KYvLx9bWlr3zne+0N7zhDbZYLOzqq6+2l73sZfaGN7zhct+aEEIIIR6CSEYlhBBCCCGEGARtTyOEEEIIIYQYBC02hBBCCCGEEIOgxYYQQgghhBBiEI5sEP+6x17tjtvGp2K3bRt8p20ad1w1HX7vz5FnuTsej8bueF2tjVTVxh9v/Dk7hHdvb+2448lkGpyz6/yzpEnijlsWW1rg+1F4TvPn7FqUH8qCz1WWlTtu6rC88zzz31nu+dvEbTHkrYvC+x6PffkkqS+Lj/z3/xV8Zwief5PfwjDyTcvmh2HbyApfHqOpb09t5dvjKPP1ulwv3XHSE4rX+GqyeuN/0KItrcvSHW8aX69mZlHqr4OqtyT1z2VoO0kU3meW+GfrWl+ANfpqPvYbGpw8fcLfY08bn+8f+s+gPRraV9f68s+LcBOFJMV9w2H23t/40+A7Q/HqV/2Avxf06QhlambW1L7yDpcLd3xuf+6O08yPJZuNf+AIY5GZ2QjjJMeGGmNzHPlzcnwzM8syf87pzAdTJZn/Tpb5uu6bD1YL/+wd2m2M+9hU/vcp2sJ47OcLs3Ds3pToj/j3tTz359if+zZsZnbhwnl/HxgHfvXd7wm+MwTfd8u/cMcJ5kuLwum8QZusKt8eMzx/krBe/e/7DJ4c4zivVBhbWvPjQMUBzsI2mef+uELboPU0trD98WdxOIQ5Gt43jvu+3+I+OF41jb+HBh9o2vCkWe7HRc7zP/8Pj2dL/Tv+5C/ccY2xrVyHc7BhnmB7YgGVSz/nsow5p5uZZTnbrO8HeeHH1ArDdG/Ybec/tFj45HGOqeuN/3xWTIJTcn5jX0wzfx8J5ssSY1kUhb2Rr3AcM7sa7+DoR7OxH/fNzCaFv68YF/myLzsVfKcP/WVDCCGEEEIIMQhabAghhBBCCCEGQYsNIYQQQgghxCAc2bNBLXEbQ0O58Vp0M7POvI4tgQAvif3lE2jVY+iCx3nor8gqrwGct14XnI28xm9rx3s2sh69MjVpXJN18GhQ95ol4RqurH1ZlKW/zzj251yvfdlkI6+1q6tQ52rQe0at1w120BlS2s/ff/aH/r6jy7Q+bSG0jNF0t7a8ptzMrMHzdNC/d/AQ4dDGGdtbjxcHEtJNjX4BXSvloeM89ClkY/9s0dxrYWto8qkDpg7dzCxJcKMpPoNz7JzYdceT6cx/HN4oM7PdE2yz/tkSaGtbeDaaOmxbgUfhMqYClesD/wOMZ03To7eGRnnT+DLaO4Dpx3xdV9ACp1k4ZO/soJ1j/Kqh288xPqVpqC9OC2j1cc4GWuw08u2LviMzsxhNrlp7HXSDMRIS+UCjfHjo9d1moY8mxhzDDrihv6UK23WRex1zch9a/6FoMP7UG4wt4VQWeLM45tPTEdr2UJ49HbDDHNG1/iI8JX2Vff7DJMLDwI+SFv73XQ0PR8V+Fd47NfEcq3nnfH+JeiLKIrSvCJUS02yI++6ZYizq+J3L0wALeB9S9HF6JczCeoxZHiivOdrnwZ73S1kStpUObSNCI2/xHkoPTNRjvjnY92P9Bn2N3ks24boJ73O9wjsf/K8Z3m/p52nZfnu8JryvhL43+qkwB6dReN8cdzOaf4+I/rIhhBBCCCGEGAQtNoQQQgghhBCDoMWGEEIIIYQQYhCO7NkYjb1mm3v7b7j3v5ltNl5/vLoPzdp0x+vu87HXErcU1VvoM6BGN8F6ijkR63XoNYnp0TDc58yLj6c5tJw9kjbmBSzm2GMZenZqAFPcd9xT3od7+/6auO8I3wniGCiSNrMuKIsjN5kHFOoqC/gSqAU1M6vRXmLoymvoZTdrf5xBC9r2+AXqCpks0HfTXwEJvk3GXgdrZlaM6Any/WB/z2cBNHj22XboX4lZ2UHmin/WycT394R68bCp2Gjkv5ONfB3lE7RZ3FKP7csMmt/1qmcv92OCe/tz/FquQp14Qn06fSrIGFgceq0ws0hmPd6kReS/M535Nljk0DTjnH0KXMqY6YWwzlfeeo1coHVYFuulzxRhzkaEvIYOuucNzBJpj3aYuvoGQUsd+kEHnflqEeZsRCihcc9e9MdBEmTloB578nVoMKH+usVkxXkqmHf65jZ4NDh3cdxMaaOhP8PCZwnG2ew+/F89mnnOIcH7BMb7DD43+lt6PY4oT2aQNEHWmP8626+ZWQ7fWtOEvqLjgJ6XkjkRrFgL81Ky3M9tI/j62s6f8/w5jI/n/DuOmVmKczJLZ4SssG3Mjz0WW6tL7wdjpEWMcYVtZXG4F5yzqv2YON3e9efI6FNCWwh8TGFbifEw9B83qLOKnjULx7YSfXHTkyd1FPSXDSGEEEIIIcQgaLEhhBBCCCGEGAQtNoQQQgghhBCDoMWGEEIIIYQQYhCO7PbNEAIWI6zKkh5zEMxlDP/JYYRl4F6OEJmeDJ0g3G4Mw1/HUCyYpPsKoK0R/oYLp503+rQVQ0/CsxYov3Hu72MTmDZp/oORr8cMOEKAIUPsWgRxjcbenBX3mNMYwJQWoaH5OChhpE1i/6yjcWiYj1GmBYLKAjMffHcp2niSh+apinWP77QZTIYLBKplYT22aG8V2mMOw9tk4u9rVPS0apgZNwi9oiGTGykkQZJZaAAuS1+AFZ6jQWBQlCCochO2v/HMm84Z9HmcNDAvtnC0t5uwTA5W/jsdNilIEPLFMLIKYZYt27CZrWE8jOFm3M623XFgUq9CZ/7y0BsxZ9t+bOYmBisYwpcHe8E5GwatwehKw+0GuxAUEz9eFXnY5xlCyp0MGLpWtf6e+soiR6BtVV6eTQqmI2w+gfKrenybDFpjwGMHAzPLJ8a8znnJrMeMjXOkQbCi/3zfxi8Me2OAWcpQYQzeTY95NsJ9xDAvc35sgzkWm9H0DEUMBuRx23KjDgbQhabzxYLhlz2BvscAN3QI+usmvK94hA0GWOb4POe+BIbntm8TG/T5oMyN4503f0965ssMzadiiB+Oq8iPTSsElpqZlZgv4tGEH8A1/TjDPpFl4fhXwCzfMHATx3VTXfLYzCzifgTx/UvW1V82hBBCCCGEEIOgxYYQQgghhBBiELTYEEIIIYQQQgzCkT0bMbSeDKuxHh1hDP3dGJrTAuFICbWdCKXb9Giil4cICoSO8IpdrzXemXoNeNkT6segvxxafXo41ggrTHoC9xoEgm1Br7eGjnoCPTLDlroeTWpq0C7Sk4CyyXHOpEcPX0GPS03lcUGtZwIdddLnfYBWs0YQT8VQogI+kBkC1KKwXpPcX5eaSZZfBC0n78nMrCqpDYbPCAGQSwaqlWGb3pr69sbyZGrRCD6QGn2vTxPNkEQmGFYJ/D/wgbQ9oX5RSu325fNslAgp7VB3rAczszW8RlHn+1yBujxxwo9Xi7lvL0WPZ4rjTQWv1v4+PAbowrBumZnZ1o7/IUMd88R7Rxp4TxhEZmbWtP7ZK+iv6U/ZwD8xGsF/sArnHM5LCYKwgvaDdt/nhcugG+8LbT0OWvYvPGvWM+8Uha/HGnMVx0CO76MR5+iwXikdD7Ly4PugL4H9ysws4Tn6Ags/hzz3z9n1+EACv2ZG3xF0+PD7MPiUGvrP3qg/3MBPxRxAht4xPM4sDKJkeR4X5drXE+tk05PKSl/RCO98DEqkT6tiefT4FOg93UZQYDA/Ilx0lPYE2eF97RAetBXGpnkJL0pf20CjLtGfMzSe+dKP/bRN5nno36O3hGGsI5TfCB7ALA37d4cJozfM8gjoLxtCCCGEEEKIQdBiQwghhBBCCDEIWmwIIYQQQgghBuHoORvxpfdAT5Nw3ZJC15sU3i+RQXNWQWd54QL0pT37ODf42RRZE4FOEz6FbBre99aWv88oKCYvnltAB9e1PRue19Du4z7iiFpi/3laJfI8rLoYOsOy9ffJ+2IOStTj2WhQnrFdHs18Bj8FtkQP9kg3M4tR99TY5iNoYZHd0XT4fY9fhbr9xdLrQ/f399wxfUdRHLYVyj3ZZtcrr+U8OPT7hu9s+/ZrFup+i4nP6ihL39f2DnzOQgZ9c92jod4Y2xfqBO2NOSarnvyCxdzfV170ZCscEzHE+jXGq6YJ/TfUxJZL+Iawt/oEGvkRyj1Ne3S60NCWOGcH4XPgjat79O2o3xrjbJP7a2So6zwN2weGwGD85971hj3f98/e5Y65Z7yZ2da2zxSJ6THATWxwjXUVzjFVCt/MqMfkcgysUT7MDWImgZlZhTbZwhuYQf9Pjwfnz1FPtkmL/JkNvDc1xmbmwBRZOJfRDzCGVymDjy1iYkMbtmlmNVUNshPgIaKvLc/ve57nvM77XFX07N23Z8iiS3udjosVvDVF4ccqvk+YWTiZ0dOC+bCCj6HEe+b+IsyvaDEuFyge+rjo4Tich+fsKmZC+d/v7R+4482a7xZ+fjUzG237vlXCz1NUvnxbtE9meEU941/wfoG+N1/Ad4P2Wva1LY7lgbHoEeF3etBfNoQQQgghhBCDoMWGEEIIIYQQYhC02BBCCCGEEEIMwpE9G8x1oCSyb+vdYuZ1azF0vdy7f1N6vV4Ez0HSs3fxCLkZY+Qt0AtRQou3qUKd9Yldr/vNuTcxtHMT3MP88DA4J69D/8AKuuo9aNVZdpM43G9/F3rlVeY1ghU0gXXjy58eBzOzHfysqS+PXjSBXpZ60UAMamYZ9l6voNdOoBVeLrxGcl1in+uea8TQSVP3a+brfTpBPkETasQNWsxy6dsCpe1p7M9Z9OhFO3qX4A3IR/BPLH1bYc5LPgrLIsl9G87H/jvUvWYZ9eGhFp77hmfcbPwYqWp/7WaDPt3n6aH2F+2D2QnMIsngI0p7xsAJfCxTaPnb7tJ5RWnXo/VH/ZeRr4ck9mVRIT9mdRCOgWPssc+cg27i67/I/TUOD5D10lPe5cbfR4R/T4sCfwv2pQ+ynkJdc9czDhwHzEnivxV2PT6FqqK3BtlKGL+mUz92ZGhL9CCZmW02zAViv0c+SpDHEGr9aYdgtknGfAq8ypQ9mTdx5MfaDr5IekmS2B+3DXJ2evTtbJIF858631c38ELx2CzMoliXy+AzxwHbHzOimOlgZhZFzI7wc1nbXNpvltCj1pPzcu6C90+0rfcbMheN499i1eMVXPgyZtZOVfnnGGXIserx1rUbX/f7i7P+nMj/SPFukOJ9Zt3z7poafbq+fA+Q3VHjvWB3fSI452jqx+3x5P551vSXDSGEEEIIIcQgaLEhhBBCCCGEGAQtNoQQQgghhBCDcPScjYy6VRDKRS2HPnSDfYO5Xe8Me/9PuBZKwttNoAlssFd/DM3zBj6QMpS92Xrt7/PUiZPueDTyWuML8GisenwNF/a9Hm8MDwI18Sk1qdBqUy/+2XP6+ypT+FNK7h196fwQM7Ma+7T3+WaOgymyI6IG5ZeEGsnV2t97DW1xjT31z5/3Ws8aHo+8Zz/42Y6/rxz7waeJ1ztm0AmvluEe3ytoN4uc++n7ttGhjed56OeZTlB+rS+bUeE1p/nM6zJbaL+LPGwHzDQoa9+PuG99iv2703FYvttb/r4aGlaOkeUKnhT4pvpyNpiJMoJGdgd7r9e1L5MERpesZ6DNoXu+YnvLHcMOZvec92PkqAjLfTz2z7aBPn15sOeOO+zBn3ZhWcwy3wYLjKMT5PzUnf99jvFssfK6aTOzFfTX44nvfyuM7RXmmEke6pETePasLwvhGEA1WwOPRk/UkMXwoNB/GMQ7YT7N4c3Je6IUErSfqqZfAl4I+A+ZI2RmVmF+W2CObQJfCB8k9D6kaD8sMGbelJgvIng40jgs8M0Gcz/8dzlyN1rcdtP0+L7Q9/rGmeNgtfDz0sHhnjueTsN8pwy5LXPMuZxjL1zwc/Bi7fvzPef9Nc3MlvgMfQot3sc47/e8utr+nn/WGOPZGF7MqINXrPDfNzMzeIEbNJ/DlfeeJJ0fq8qZH9f73jO3MfbnGMcj+Dtr5D5tAj9V6NEoet61joL+siGEEEIIIYQYBC02hBBCCCGEEIOgxYYQQgghhBBiEI7s2WihrYugdMt6xJxZhj1/jXv1Q5NbeM/GuvTaurbHL5Bi/+MG2s3Zlj/naOyPuc+zmVmH/Y2T1J+TWtnxyOvKmR9gZrauvBZxtfZ6452Z1xaPilB37+jR1s2h7aygSeUe1tTipXmP72GBfa8vU85BMfFaRKsvnadiZrZeYx91eFIWh15XWZbQ16J9RnnYXdKR1+BmKEN6cxrs8Z0XoWKUGmZqnEvoguMIuS8T3x7NzKZswxX0oPteL7qYew0qPRqTCXNOzGK0tw73yayUGGNI1IV9sUEORduTJXBctBDZNij35Sbcr71pkdEDvWuGvJKCmRe1r7dxj048xn7rCfJz6LO6YsvXXdyTnVBiDGReRQZtf4bxqln3BC/V2Dee2nPUfw3t/xp73x8ehrroDm0wmqL8xsyR8GUx69Gd0wuxvky+oQ36Qof7SLOenAPUfQSfVHYfOQYZPEaznrGlhhezbv34dV9ek7YnL6WAJ6NrmU/kP5/A75PF4TmX0KdzzkgD/wr8U3jXiHuuQeoKfoGW45kvHGZ/mJlFmHOznnnoODh3zxl3vIGvptwK/YddRF8R8iqQsXL3Pefc8dlzF9zxmXPng2tEqJeu9eMM59zA99Zjdoo7X8b0sHEsq3DNuMfX1WLKzDCWF/CE8hR1DA9qEraVZeXrIC74foJ8tz0/pkZVOBd0eG9c9GQoHQX9ZUMIIYQQQggxCFpsCCGEEEIIIQZBiw0hhBBCCCHEIGixIYQQQgghhBiEIzuNaKGheSrqCYQbj2GczhGKA7NkjOOmY3hZeF8JjGQ5QplGCDk5fWLHHW9WoanpAkxIGxjadmCObRB2w/AyszBMaQ5zH/NZcoQxBb5Q5EyZhQb6bu2NPTQtMSxu3GP+62BKpMn6+PDXnW55I+f+njc4m5m1CEiqUMhp5p9/C+csEWQ36jHm8WcNDH/rNYxjMKOlPSFiscFYzfC7mEGLeI4e83ZKMyMa1AHCMDuY6pCPaFFfM4hQPnBcMvAwQ5+Ie0I7WwZvtZcn0MrMrLmPcKjVMjSIo+qCeqjQPhKEfnEkYaCjmdkInyrnfjxiXeUFAxvDALTJyBupDzGWcPOPcQYDZc99JrjPHGZkGm4XMCZyM48kuu9wqZ2ZD9IqMZ7dfdYbUjlmmJmNEDa5v7d3n9cdghMIBYuwkUTbMza3hk0ysElDjrFiPPJlmmMDDIa8mpk1MHjHCBWlETuiQbzt2UwAYXhjGI0Zjsd/N12sejZriLipCMcWBM6FmWn+fJvw3cFg8G4jjuUIaEWfiKs+kz/eBZJwzjgOztz1F+444ti8Co3Dh3O/MU6Gd8Iu9+PM//q0v8anP/MZdzxfh5Uy2fb9gtPIBu9nBbtJG54zixmG5+973fr21aIt7XLjBTNLSn8fqeH9DCGmFTb+WMKQ3/aY0GNucIF3nAh9Lar8PXXrnqDKhBsiXRF85ijoLxtCCCGEEEKIQdBiQwghhBBCCDEIWmwIIYQQQgghBuHIng3mbTF0Ls/61i0IxWGgELSdEcR24xRBUT3azg76zxg61tHU6/mywmvv6irUoCYIc1tDuz+DLrNB4WTjUDO/dfKUO46C8EGvtaPEvkaITJKH/oocOnxKEccjf1/F2F8zLcL7tsTrUpM41GIfB+Ua+lj4ecoy1J3H0Lpa5z/TQf8fQSc8Gfnvz0ahUYZa9ST1etqy8hXJeszTUCNZ5AgmgyZ6xRAthjlWPqjHLAyejGJ/n5MxtcUMNPTPvkAopZnZhX2v/9za9u1rB8Fb9FulPTrXDlrYGn3xOEnwzJval/Pqwj3Bd2ZTjDcI8evgt8nQnoIW16OZ75iaBl8CQyILjBP51OumzcxGs113PM68Rnk8RlgUPWnzMHCvXvt2mzNwrvXtYwtj3IXYl/eFddjOJ2P4ADFntBwnEFa7KUMdfkxvSXd5fENj+CsYpFj3BF5GqGvOjzHGnxj67Dj24wKvaWaWwZNBBfwKZd7U/hoMyzMzaxG8toI/IqVtAfr1ug3ngxbj/wRBbeUKGvkVxhpmwTVhuGMXQxOPeb6Dh4P3xEA6M7MUY8LmMg2B58/f7X+AYN15HtZjCU9ANvHvY03qx1Re455zPkjw/Dwsn1kw9/sCWh14D+722DcehuuZmeWpH3tY5BsEp2LKtoMurKQGfog08u0nPun9xDF8IzH8PX1euxhjQIJ3mn3MUXMcN8tw3J7t+vtkyPBR0V82hBBCCCGEEIOgxYYQQgghhBBiELTYEEIIIYQQQgzCkT0bFXTj1P2mPVrOCFpX7sfN3IwY+/Jn0HTXy1AjyVyNAn6LCHv/z+deI7iYhxrdBOfcmvmsjtmWP46hNT+svUbQzCxZeg3fBOfI4acoV16PXEMwmo/CvbbpX8nHvo4y5GqMZl6rzfoyM8sgjs2zIzeZBxTmuKyX8JL0rJsT+IgOW2gkU6+v3UYmS17A/9NT5vQZZMzNgIY3KehLCu87hQcoplUJXpL50rfpumffcPbPCJ6XZIN97WGfiFDvVY9eeQav0ggnaeA3KJDlwD3ozcxW0ND37Mh/bExzf/Up2sNmhT3OzayjL6XwbYw5IlnMMdD/vlyE41UKX0uOvdUz6PSnGM92Tp0Ozhll0DVDN17Aw7NpvH54lIf+JrbKegMfWgofCKanDv66NAm1w2OM/+fu8Tka9DVMZ76sqibMZyiRicR2fFzUKOO4YW5ET74TyiiBGbBpWW++/EYYa0Y9lj16xpjrsjXFmAiPUd4zBjbwxYwT32YbnGPBjJue8ckq33fq0l+DlrzNGH6LBn6rvnwQ+E8a6OyZ9ZQX/qJlryGDXpzQm3McbBZ+nimRebHs6fPrjX+PGTe+PR2UPofj08jyuPu8f5fqeQW0mAae2H9o1fh7aBe+jHeK0P+aRr5tnIV3ZJv9AvVYL8IbXcAfVvDd4ISfP9PYH1cIu8p6cnWatfdcrA/hbV37LJRy6Y8j+v+sx4/XU89HQX/ZEEIIIYQQQgyCFhtCCCGEEEKIQdBiQwghhBBCCDEIRxbg7+74PYCzYG/sUMxJaWvC/d6h2e5wjjX2uWaehZlZAj1ZCs3pAhrnFPtcR2moP+O+9LMpMjCwP3zgRenZhrhBNkeL/bcraLWTGfTfG68BHEF3bWZWYh977lWeU7ePteaIfgMza2Z+X2yLLo9q/vDA6y67BvrunnocQWA8gnaY22uPMrZh6Ol7PBvM8mjgKqihPU6goe565LcF6mGK/JMNchS2d33fbHv0ypuNv6/xxPe9yc4Jd7xeMcPA32ja4+/Z3fH3Odn1WtgEHo4Uz9m2YccpoeuvL5Ne3sxs58qr3HGa+7rPt32WjpnZHDrn06d33THb7X3liKwD54NZigEnZSYS2m0KP0Zdh42wqn0b2kH7qJAXU2N86ol8CDwZS+RktJV/tgZegA7j1RbHJjObol0vlhg3MP7TVzTuadcd9qrvy2Y6Dpra+xIS5BpEFt5X3Pk2yjisBPkUCQbFIAuHAVBmFsGH0FL3jWtU8J705QV0mOs5NlQYm0u0lTgK/x11gnyFCmNJzVwmeEkimFHKHgMBx/MWz9E0/gNV5X9frnvyQVCt9MQcF2nH9zH//PPDsG2s4FO458C/j/0FPBn7C3gOMP5vbZ0MrjFFP+D724kdPy6vD/xz7GJsMwu9cwfnvJckm/o5dwfvVpveucxXZIPyTODXmeC5Ko5DPf6e+aH3YGR4z+Q7eAqfdK8vFV7fts+rdAT0lw0hhBBCCCHEIGixIYQQQgghhBgELTaEEEIIIYQQg3Bkz8Zk5PXXgW4wDjXzzG2g5r1p/VqHWrAWWtCUmkoz6+Cf4F79Ee5rZ8s/xygPNbrrNfayx5LswqHfG/pw7bVzXc85C+RqJNAiLlf+mtzDfzz1901doplZPMV1sXH4BtegrnWzCfWiG+iTqUE9LhbIKaHfpOyRUTNvIi98+RQFckewVzb3cqfW2MwsjrxOlX6KfII9vKEtnuRhtsQMfpwWOt8I/gnujV3VYWGUKKAM/Xk89X6LDFrOFmW56dGL1vBxpThnhN/vH3h9LuvULNSMdz2eheMijn39cwycTMI+mSFXYzzx/ZrdqYVvjXaKtifPqESRNNB9N+jX60PvI0nWPWWawAuHvejpB6sRmtT2TC0r5FWcP/TjUVkxhwUeD2TBWI+/Yh+a8BV8IRk8Giv4RMZFeM6tLe8DaepwHDgOYsyHFbKG6p77mqAPFrnXmnfo16uFLy9m5yQ9c/B0C20a3px9eAkXe/4aZ894PbyZWYz5LR97DyPza/gekDE0w8wSjNUNNPQ1vCPrxpfvOPV9IJ+E4xX7RZxcOpOA16w34djNFtk3vh8HHXIhMhiAih4/z2Lu6/7MuQvueLnyz58nvn9u4FMYBV5hsxRZMRu04Xzl7zs1ZIcVvn+bmSUo4xGGngR+HXqMylWY10OfZIzv1If+mhU8MfRftWXY32vkxm1G/l21mPn5Y3fL96utrdALnMNbXd7PV0D9ZUMIIYQQQggxCFpsCCGEEEIIIQZBiw0hhBBCCCHEIGixIYQQQgghhBiEIxvER2NvEolgFIuS8FQtgncYkkMTWIsAmMnEm4X6Ar1oWCtyb8hKEgbz+O/HFpqaaBJsYEBawOjI4zbqMYjD2Jmn/ngJU1OJc463fIAVn9PMbDLzdZQhoOnuz3zGHa9gbG97fKI08fcU17HAwMeiwGYDPcbhIFAvMJUjXAqhWAwVy3uCA2nmrhGe18X+nNORr/ctGDDNzGI00iXqacOARxjbR+MwmGe65T+TwxzfwhBXw5jHMMJ8HBrbS5gdFyt/nynKr4LBrS8ocDTx5TMbhwa24yJD6CNvl4Y/M7MCH2ph1m7QJmcIqmO7ZtswMxvDVLm6x5sCzx8cuOO68sFPSRKazqfbu+64xNg8gtmxRXtZIszQLAxYPUAAFdtgnPl74Hyx7DFh0jzbIYQ0Hvv64KYEXU8YHOedri+x8BigeXuOAbtvThgXvszWc78pQ8UAPhitT2LeiXo2tGD4KcucQbAM18uzHhM16jriNXDfNXZJ2KQ94YPoS3WDMEz0ozTB5xHUFsVhWSQMUcOzsf/mOYIrm/C+E4R2rriBzTFxcMGPKxk24zngThVmtuCmMzT2c46OEEKJ97c1Qv/MzGzpP1PXvnwiGNczGPuzntfgChtLxCVDbv2cvF5jbkjDMZW72IwQCss2vI79/LmuGaLox3UzsxphvHHrj5uVn09P7O664zzucX9XfpzdPwjH9qOgv2wIIYQQQgghBkGLDSGEEEIIIcQgaLEhhBBCCCGEGISjezYKr/XqjCFO4bolzvzpx9BfF9Crr6HhbhBi1PTogEfQ7ue518rF0OvV0J+tuh6jAr4TZV6buIYueFN5/V6ehTp8g+6yhf6zRXrXsvS6wxkDYdKeALSUemR/ztHYl00DHewSGnuz0OOSZn2a3eFpGupWoe9OQq3hpvPticF2U7S/2UkfcGPQ0+ZZjxdnhPApeDIytIUx2mfWt97vcB3ogEcIGYuNut8e7wB8SNXG94O6odfEl/fBgdfXz5f+2Mwsn/r7SqCBjqB1n0BPTg+RmdlyyQZ45CHrAacxr7/OcC9Jj2+IvpRi6suE3hf6bSJ4lU6dPB1cozyEThdBWYd7Xmt915mz7riOwjIdIRxqCs/eGGGVCbT+DBI0MztYwpe29vrrpPPtI12ivHPfFrK+cCncRxt4XPw16Bfo8z1EuK+mvTzBppsGHjvMQ0Xf+ISxI4cGnj60FN7CCnPbpgrLp0QQXQOPxqr05xjBL7Y17Tun70v0BBU5ghYReLbeUGNv1sKjF0Xoe3g/GRW+7axX9HCE/b2r/bgawccWw8PFYN2+d4cg1DW5PKF+5+7x40YMz8Y9PZ6N/UNfHmu0lTXqOc0x/qEtdU34jlJjXplO/TlOIXSyRb2fP3NXcM4RAiDHeLeyGmGhuR8Pi0nYF0+e5JgJHxz6QY4A2BzvL4WF3syaoaQtyqu5tAeX7xJmZsvlnjverMO+dRT0lw0hhBBCCCHEIGixIYQQQgghhBgELTaEEEIIIYQQg3BkAXSgyeV+5F24bhmPvP4wxx7dEc5BzwGksjYahXrG2dTvuz+Zet19DQ1lBx0/NalmoUaSGQOblrpXPGdP5sgK3ymR4RBhX+YUmvkk87/v88is1/7ZEvOawAznyCt/D4uenIBy48un6fnMcRBl0GJDEt6n96+gcc5QLxPkU0QR/BVj//nRqGcP/hbeEWjEG2hUS3h11k2okUyghWXmRQyNagV9ctaTB4JmH2R11PDvRNBAf+bsBXe8WoX+qRMYTtimIzzrKPOaU/pZzEIvyeLw/u3x/UDQokzaDv4l5guYWUp9OnILYuQBrEvvY2AZ7W6dCK5xgH68jz66Wvu6ruA5qHr+yWmODIwVPGU7GH84P1jPOHGw8j4QeosmaLfsB+OpL/+4CDNH9vf8NarK9z/mSnQoi7IMx5EoyFcJ9djHAfN2MgiuFwfhvvubCeYV+CjbwB7mz7lZ7PnjHr9AhPKgWydH25jg81unwza9P/djWpt5vXsXw/sGv0DTht7CBn5N+k6LkW9/05G/z5K5VHVYFhVylujV3GDsjjEn8/NmZgd7e+54uQzr+TgYw09G72oxCcfvZO7Hngk8QfQItHgnZH5b3oVlvjvzbSMrOM/7+65q+D+XYZ/P8CzJyL9X5hhHtnEP9G6amcURsqwa31NWJd4RO8x1aDvdJswZyvgejvcRZgYd7sGLuQgzXCrMLyVfzI+I/rIhhBBCCCGEGAQtNoQQQgghhBCDoMWGEEIIIYQQYhCO7NnIx16TtoGvoW17dFzQi50/73Xf2cifc7bldXEJdORFEmrRY/g8cvg6otLfVwmtepSGPpAk2JvdX6MooBGErrCtQh3+mJpmZHnMUH7thvpm//3pdDe4BnM11guvx4ugB82wx/wUfhczM8oCN2Wo6TsOJjPUU+M1keWFsMwXyB/YGjMDw9dj1GKf69T/nvu0m5nRckHvQ8d9q9FNQoWu2fzA5yJ0HfNSvB45ReZK0rPffoTsjhT7glfQep4/D80+2t9yE/47RXPB+w0qZKNMMuaF+DqdYowxM+tQYPQfHCcJxh9mYHTBuGE2nUH7m0IvXPrnWcAzUNbwNdShZ6VF4AQ1tSuc4xD7tS+rUAd96uqr3PHOqZPueIyMmg4dIeV4Z2YXVr4/VrV/9gbepBSZELOZz1bILRy7L+z7ayTwZeXwYSH2IGhvZmYxxslRcXmyXg6RfbINXXiehfc1P/R9crHyA3o28mNJs/JlOoGn6ADZKGZmp658uDum7r7FKHeIezrRk0kwxVi9ppcBX6noiVyHY3UK7yW7a4XsoBnmwxHG0NUmnAsn6N9zZIOtl76v5TN/zqan/c2Rc7C3dy74zHFQow7WqNftSTh+R9t4r8F0uIQHaI3frzCuFD1+xBHev5intYZXwpCzcerEFcE5dzHHRus9d9wtkcGF9lf0eEsivPMxpyQudt3xpvHPdYicom4ZtvEZyidHbtAG5blCf+4Ztq1DvXejsJ6Pgv6yIYQQQgghhBgELTaEEEIIIYQQg6DFhhBCCCGEEGIQjiw+7aAFaxB0MBr3eB+gl23mXr/Y1V6fvKmgt4387aU9+5vH2Bc84r7N0EBGeI4s8Xswm5l12CO+qvyzzmbI8qigkV6FWk5mjMTY7ziF7nC8teu/D714EoXaxQT62g2yOqhj7aC5zPOwDosx9nZuL0/ORgrtYRb7etu2nvuCJjePoblndgzaY7WCH6gI20oS+3qdr7wGcjKBhhL7jEc9ro0GWRzMguE21w39Uj37YNOHNF8hY6X2x/dc8H01RtuYzHqyBiLk06S+vOLUt/EKVRZzj3oza3BfdU8uyXExzvhvM74/xXlYJtnEt48KdVPDNBAVPjcox972Qb6RmZXIeqnR7xuMLSvsM2897TqFfyZC/6swRnJsTvIw5yDO/XVqeDgClTM8PhWfM7iCWQGtPz0vcYRzwsOXZuG4uipRzz3XPQ5ijFecp/I0bH8T+Doa5owgB6g1P9ZEaNObOswkWB5A9432tOZ4ROE+hfpmFufwfcAL0SX+PpbIc9jfD71NsxzZVfC61SiLOQaoCD5V5pyYmTV8VviO6Ckt4UGrm7B8a3iqoujy5Lys8P6whzJfH4b1WB/4Pr5Gny/hdVgj+GUfHrZkJ/QL7OKdjhllnGNZa6tl6EOaMXML/Wa1gO8NfTMdh/P6jOMfcptGGXwi+P555mxkPWPsyPvamDUWxfRu4jgO67DFu+qGPtQjor9sCCGEEEIIIQZBiw0hhBBCCCHEIGixIYQQQgghhBgELTaEEEIIIYQQg3Bkg3gFgwwDcfoChWgSzAsYYOBzKhFwlWU0vvaYgGEq3VTe2JPAPFQwtaTnnA0MMS1M0Qw5oekuYQCRhc9Ww3S4jUBDBtU0eM41Al7MzPICZjQYcmkIb3Hf2TQ0iHdb/pzjnsC442A29sanrvP1ut2TjpfBTLta+kCr1dqHOO1OT7jjComGPd5cq1GGJeqlqWAAZnPraSt7BwjUW/m2s3Nix99nhXC0Tdg2NhuYzmHEa2HwbRra6GAKi0Jz5ASm4iyDuRmhbQz/6ksU2my8wa3oMWEfHzAKw0wc596Ma2a2WPuxpEF9BwGhaA7jCcazHgNzlPj7GmMs2d7x7eXEKQSL7ewG5xxv+/42xTlZ/QlCIfv+FatgwBSMxDUMkDXMtjRvz/d9PzEzm8223fEYY3nT+vYU4077DOJ1jfkgvTz/RtfA7Nlhjoi7cA6Oa9QLNhop0Gc5Tx0u/FjCDQvMzPbP3+OOV2sEU6IeC4Spbo/DfsO5LBr5OsgQIDdF3xtfEd5nW3ojcAIjcTxCe9z4ftUgqC3te3vC+J50/py7236OWa58WV24+zPBKWNsipH0TUTHwBjm4wnmlLoMze3MtuOGKjTIL7EhyAam/QvnDoJr7GJcueYaHzIZITzvwoHfwOd8j0E8QUWOsSFSEzyXL5v1JjRvd6VvswxC3ax8mO8S484C7y99g+wYmwlwzDDM83Hi+82oZ34t8T5R94QbHwX9ZUMIIYQQQggxCFpsCCGEEEIIIQZBiw0hhBBCCCHEIBzZszGb+bCpBnrG0agv1M/rwVKGq0AXzpCiBgFDcRzqyXLoP6k1T6BRm8KXUFeh/qwsvaaPtg56HVIImPt05XUQ3uO1dTH9BdA/zve8PvnEjq8Ps1BvzOIaMyAM90S9uJnZHDr7vjo4DnIExOW515DnRdiUz9+95463Jv5Zuoahkr5ORgX126G/h21lvUJ7oqdo7XWZs6l/DjOzEudYLKC7jPw1pxOE51monV0c+pCrbOzbzxjnKNdeH9qiX20jdNLMbHvbP0sX+Lx82xlBs99jXwl8MuNRqO8+LioEmo0L6l3DNrhGMFgDnW4GL0wC30qB/nZi52RwjSBn8wpfkClCIlvq9uHpMDOL8SzbGP8z1GVXX9q7ZGY2QncqC8wHNeaDyJfNCNr+adUTIgbvyHrt9dg5dPmTmX/2NUL+zMxSBuHFPQ31GCg5PiHobl2GZV7DurBFXx5MZA2CE1dLP240B3vBNQq0lSSG3xBtukIfOChDHX6BgMIRxpYIYXkZGlfdEz5bQWvewUvCvhfM8/Cl1lXYVpivmuDfc1uUb7n25VuuwjDCNUKCyyoc34+DFu9vK/SVssezwTlzBQ8b8xzjwrfPrkZY4yJs4+cP/c/Gc19eEYKfD5f+nuawQpiZ5SM8K+pxlHhPxl2H/iSjNvx3/Dbxz3JyigDS0p8jQbDlDP691Tq88RrnSPF+sQ//5/r8njveLkKviaXw9m4fedng0F82hBBCCCGEEIOgxYYQQgghhBBiELTYEEIIIYQQQgzCkcVXMXSYEQT+WU/OBrM4igx7LCPHIMV+yBH3M+/Cvf1z6L4LZHt0DPPomDURnjNmscC0EewzDN1rZ6EPpMM+zQm02NxPumu9mLHGhtWbukcvuvBaxWLkr8F97qOW2QrhOddz7zHY9Anrj4FR5vWNuyf8fuVJGtbjGD6P+Rx6T9Tr4T72uYa+NOnZWJ17j+8f+nqGzN/SsT/H+Qv+mmZm84XX7VbQw4/G/phZAdQzm5lNZ97bRENPA/1nSskz+lGehfvYj6G3TaCVLaHxrbCnep8dKIcvgn6W42Q68/rXDP0p78lfoGesaqD9ndBz5suEPqzIsMG7mSWdL9ftHV9mRXzKHXeRHyNHW6H/aw7teGTwpRV4LoyBbRzeZ1r4c5yAb2h76jMy8hjXHGFsT3o8MswjKv1zdNCQc47pqlDrn+FZT/V4XI6DBj6EFeYMekvMzKqN96ycRPsaT3yZ0xfSGL2EYf9rMVdtb/l6mU7gs0K9Rl3ovUkzeDIwvmeRv4+o9mN71OPnSRpmJfjBOYNevQneN5BRwHcLM2s73FfL+/TPde6sz9VYrP0cbmZWoe9tGPJwXMCbuoE/YN7jp2CuVLn25dFibpuM/Bjb4J2wGYXvH23n62EO/0SHMfgC8nkOV+F9t/A/Na0fY6fw2k3gWU7j8H1klfp6O6j8NRLU6+nT3p/HFt315FKZ+b622fhnPzjnr7lBe9s9ifcEC30f5Sb0FR0F/WVDCCGEEEIIMQhabAghhBBCCCEGQYsNIYQQQgghxCAc2bNRV9xjHvrsnu9QY1pDe3gIj8FsCr0YNJPcJ9vMbATd6gh7tScp98723696PBuHS+xrXXJ/buyNH+QvhNpZg140T/yz1vi9waNx8qTXzY369kOGVySGyq+GfrSmfnkTakEbfKanuI6FzdK3v3arwe+9NtnMbJz7NjqCxr6BZyCBBnzBfa+X4T7izFroauSnYD0f45rVskf/iOwX5tGUC68f3RTUWYaVVEA3vUJ2R4vcnDH0oDU2kO/qUBO9Xvry2t6lh8PrbRvoqtOEuSZmOfbbX61DX9FxkY28x4CZM5NZmJmSQy9cYnyKUv/MC/h1NvBOpKdDf8WJU1e44xZZE2Xu6/bg0N8Dx3Izsw3bIAbOLvbHbeTbfT4Jx6cTkfeOZCPf36445X1YLdrHZOzP2c5DfXuDbI5s5PvGcu0zHehFmdBfYGYxPjMaX56soREyQiJ4ztoez9Dh0uvTq3vOuOMv+RLkjmx5D1pV+fI4WPjzmZm1yCuKNr681tC7n0I9n9wNPTAb1H0ED1De+WsyM2rU82qzQ99a4p+9xZy73tAr4cs7H4VtvMU7SwnP0Hzfa+YP9u5xx4ueOZhZMONJ2F+PgxEyjrbg9Sp7xuY9+COqja+3rvLlFc+ZueLHx23WoZmdmPl6eNgpP84cLv019ts9f80q9GyUB8jPgp+iho8rhX9nvQzLIkYuTr2Ef2Xty2aUo+8hEGR/P7zvNMX4NfL30aB9FcgLoTfTzGy+xnv7/ZyD9ZcNIYQQQgghxCBosSGEEEIIIYQYBC02hBBCCCGEEINwZM/Gaok9gRGikVD7ZWYGDXzTer1Yiy2T1/CF5LE/Z1aEe/tHkb/GEn6LfIR97ZG9ULWhv2IJPTrV6Tl0cWvoqpOmZ49vnCUy/6wJ95OG9nN76n8fp6G2rob+8XDP6yUTaI8baLutDbX+HfNTqstj2kgif68VdIMRzThm1qCMC7THGmW8A71yXflrLOBJMDPLM18PO9v+HIcHvm2M8fl0EmpQDxrfhusSuktkTVSlf/aiRy8f5LZgH/EM5cv+3WKP9SwJ21/cMf8D+SDQnLfMRonCOqRv6zLtMG9mZuPCtx9u5Z9kYblnyGaJUnh2Npferx3xRhY1YbnnGNNKaH/p+Vkj7yTuqcui8FrpYuzbdYcMlYM56r4nDiWN/X3unvBa9MkE7YOZENCMb3oyMZjtssI+8oervUteo6cKLUX5tD25EMdBhQwMWKBswVAfM4ugeV/Ad5ZjfDpVwHeE8T/b9rkcZmYVfAlrVEsFH9s2xomuJxeI+QsVfJOR+XpN4Vvra9MNPHvjMTJs4NmIKoyBJfx47JxmFiFHx1I/zi5X593xDB6hhuFkZlbDO1itL0/7myBvYWsL91WFnZ4+2xLPt1r4czTIDDJ4Bxeb0C8wQbNn/keHHI7R2I+xdU9uRASPxqrlPOTrnvk+B4uwL87R7hN4aAu8I55c0W+B9liFbeUAHtAE77cR3NX3IHssikLf5GjLl1fRk3d3FPSXDSGEEEIIIcQgaLEhhBBCCCGEGAQtNoQQQgghhBCDcGTPRgc9dYI9g9MsXLesoXnP8J3tHa8BjCFBG0NblxdeN2xmlmKv7BqaPurum9Zr1hrmW/TcRwkvyQZauhgStmoTnpMaQEiLLcYe6Sn0pWt4FJIezwY1vS212vDdcE/lfBT6Bwruwd/2iLGPgSj22sPNGtpEVpqZpQk0ksGx/84own7dJ31+wXwRajtTVCTl3Dn2ymZ59lhNrMa+9fTiFPB9VMwjSMJ92JlpQQ9WA89QjMwWgwY6TcOho4CnoYNeNIUgvoKHq1z35Lxwb/tJ6Ns6Lra3vF6dUSMRPVBmliCLI0e/XtU+H6aFz6WCDn9xPtQsz3a89yFq2T6QqYJyT3vGkiSnR8z/voJ7ZjL1bW5chOcs5/5Zc8wZU+QsMaMgzf3nt2ZhW6jgwVhv/Gf2F77809yPAUXeM46gDrM01DUfB+wLUZCF05PvZNjb33y9njn03ocL5V+4Y0Z3TMdhmcexL49lCT8FJsh9ZC/EPT6FmH5NeEcq+O86tNcuDc03DeaIFOdYHyIDA3lG6cTnSjCnySwcqxuUd4KyKkb+naZdhue85+5z7nhvP8yUOg5myLjYP8Sz5OGc8PCrkAGEd5JzZ72HJYNnqIr8/Ll/GI5/DTw/Z/b33HGU+nO2aAfZKGzTOd53Fwfw8aLumSvU9vin5ge+fcVofztosjVDzWL4e7LwGqu1v0Z73vtXJmjDbefLout5j59sYS64n3+i0F82hBBCCCGEEIOgxYYQQgghhBBiELTYEEIIIYQQQgyCFhtCCCGEEEKIQTiyQZyG0Ly478C9DsavnR0YLPH5Aiavydgbknr8WNYhRGfNMJaVN6tFxmCk0Jw2hmGyhNln7+w9/pwwfVnXEzYFw9GEgUIwtm9gRs7g0JzOvNHHzKxEuFuDALCqRnAbjFJRF5o6UxjtNtHlCfUrRrg3hOxsmLBmZh3MkUkKwzJMzzECbxoY/Yu4JygKpnzkQtk4xwYGuO/9BUz7Zrbe+Pa2AwPwzo6v+2LLG+Ai7j5gZutDbtbg74v9d7bl+16EfpL3mIrbBmazFqGetb+vkuGEPXsPJJm/r74wy+MiMW7i4J93swlDHxlSNUK5rjqYtzu2J//7qAg3cRih7iK0wbzw9826zUfhNJDDCBwYHhGoN8HmEn3m7QMM4POFH5szBFJlCH0cwXQ+ysKNEOrON6LFxj/b7sobcmcTPw6Pip75AOU7GYfXPQ44l2Uw5I7H3kBqZrbZ+O80DCeD6bzGNRjMGfcEv6ZwjI6wKUaHDQnm2GBlNAnHbhbxBpdlkGWNUNK6x6BbVghLXR6448Pze+54sfL3Xcz8Oec9Ia+Hc5Q3NmfY38c1l74s7rrH34OZ2T7Cecu+gfIYWKNt1Ajs6xuaNy03ZfEVuXvCV3SU+P44L/3nIwvLnIF695z399nFCKoEfSF1NZ6lXPg66GDu3iAEdXno69nMLJ76fjGewbiONnx2b45j/945r3oibrGRToFNNQoMETsn/HhY0KVuZtEIgdQyiAshhBBCCCEeTGixIYQQQgghhBgELTaEEEIIIYQQg3BkzwYD4CD1tFVPIFeWMpjH62EbaP4S6PUYiEWNvZlZEvnvdDU0qNBMptAQjqZhUOAS36mhe2smXvi2QJDPpg7XcA1lqSuEwoz8c5QlyhNBbm3fOhG+jgoBfC1099ThN12oV+7uI0jquJgjcGk69v6fnOGDZraGNjhFSM5019f9BsGJDD/L8h5fEnwKLJ3WfD238PMUk1CDf/XWCXf8sJP+mDpgaj1XZRg+2OG6s5l/9hRizt1TvKYvi7oKfUlrtNl85OukgP/C0K9m01AvGmfoF+vw2Y6LCTwaDOKMGcJkZgkCzaZTeCEMoZAxfSC+D08mof64wdhco9/nCFOc4R7inkDMHP18Bb/FCPVC71tXhZr5qEWIJrwQdYnw1AXGblxjNAnD9RKEUjFobIxAvinuYTQN5xiGb3VRX3je8LB1McSv7NFwV6i3CD62Bv24g0cjRxtv6vDZxzPfz6db/niEIMsIyafrHjNm4FmED6Rs99wxvVyc2z4LQm55TXg0Fgg8PDz03zhYhgFzJbyD67X/zoYemfbS9WFmFqPOxhTeHxMtXmJo30x6gl4jvihiPmxa1AI8QV2H97suLPMVvF4M3FvCS1ejm0yzsDwrjIns8zFDhmt/jXVPWHRm8DKV/lmqFfoz7rtCQGSXh2PVbMv7ObcRyDfCnDsa+zqLsnAMafFSk93Pd0D9ZUMIIYQQQggxCFpsCCGEEEIIIQZBiw0hhBBCCCHEIBzdswGoJc569P7UTZYlPATQkTfQL1bYl386DjW6LXI2OuyZnAU+D//7punRuWI/ae4jfvL0KX8PF/x+yJt5uBd0nHi9Hh7N2pIaQGg7a39PbdbnX/HVWUMbm478PTA7pacKbVN5XWEXKIePhzSCJwMZDsxbMTMroMWcch/6zn9nA89BoE9miIaZFSNmwXhvCX0jHTS9J054b4SZ2clTp/01UNWLA9/eDrHfe5aF3frUFVe44yX0xrNtr/XMc1/eh6s5fh96nfKRbxvM4lmt4IVCnsh01KdFhuelp78eH/750sR3mCwLx6cM+uoKQ24Te89AMfHl2qa+bqM8vEZKTwHacYU2x55Sl6EOeh1koiA/AG0sgba/J+bAKoz/W7u77niz9tdYor3MD/zvVz33PdvyXq6m9PeVRb4+Iowjq4NQa93EvvySPjvAMdDBm0UfYLkJvQ81fEQ52koMn2SJXA6jx6MO5zZ6AY3ls+UHsDxoO+F4VZZ+HF2s9/13Eq/TTzBH02toZtbC49LhfeNg35+zhva/GPm+2nMJK/GdipkYiR8T6buxnsyHhOaIHo/VcVDhgVPMr2mPn6cwzrG+jFt4NJra92n6pfryewxtnCV4z54fR8o1fZThnDJf+XbewQ8LW5xl5u+7DEy6Zhu8C+xgjqWlMUYu2An4MZI89DjOUD6zMXOEfH1EET0y4X0XmHOy+zkA6i8bQgghhBBCiEHQYkMIIYQQQggxCFpsCCGEEEIIIQbhyJ4Nag8TaNjSLNSPVcjRqLAPeAytZkMjA8TqmzLUk5UldLyrBX7v9XqUO46omTSzzcbfJ6wllhdew8Z9nan1NDNLceEEGSRrXHOz9vedR9i/exl6NjrDXuMo/zE0py3FjdSGmlnTUq98edanNdpGkvjjqEfryj326Qlazb0ueI7jKXIiAi2yhf0ix37wLXNK2ON6dL8btOlk5NsKsxkKtMfROMxioDZ2nHuvCTNEzsMXQv38eLoTXCPF3uOUcq+gw2a+w/78IDhnBr3oukenf1wkI1+urMs0CsfABLrcqoZOHHv3b2FIjuL73oef2RFp7NtggnopEozlFo5XwfiEcZXjQIZ7GI/CqSVHgWXQY+czr0mO8W9h3Ot+taa/wOyg9u22gj47jv19zle+LKI2LIsc42bVo2s+DjYMCEAd9Azf1sKIl8IvETHbKoOGHllDdY8WvT70bWO+9P38YOnrKUv8fU8moVerxdxVY5ydoE7o9yp7xoklfEcHGO+XC98Xx/DjrXEPURTOwS28IxXqLE3o8YOPred9hPXc9Vz3OOD7G02ewfuEmdXMFUHziTrmKPk6Kls/JzCHyMxsnCI/DPPjCN6HOPfH9LqamXXoF0u8n0Xwe9K/N+rJQukwl+W4rxHed7cnfgwupv4+i0mYLcZMmxz3FeM9qcV41/d618IT09xPy5D+siGEEEIIIYQYBC02hBBCCCGEEIOgxYYQQgghhBBiEI7s2dhgT/yU+3P3aCSZs8H93m2DbAlkTVAEGFMEbmEWwgoeDd439wzeVKHQMIXOuoNutaEOkfubd6GmMocmfjzx2s1R7a+5gAA3Rs5G0rOntaX+uhl0rcwgiWBCiHr9GP4zfX6U46CDuSHO/L32lIYdrr0mN4HWNYHWMx777jCa+cwD3oOZWblGu2fxxL7Ma7TxYhLuG3648Lrz+QLtCfU4xTnSIFsm1Lq2jdcf33PuHne8YjYDPFnrKtxvP0vgyYJHJsUe38xJYI6AWegNS0ZhzsRxkULDzT3hu55/u4lT5Drw93jmEhkZzMJp6Wszsz3sXU9vWxtI/aHT79GAc9zkjVc4aRdkPITnrKB7nm98+Y2n0CBnzGf4/9u7t+XEjTCKwn8LAcPJdlKV93/DVGIPIKFTrnt1l+OaRPhmfXdUxkS0Do3s3tr5djeVriGuEV+W/Dhlxqpp0Z1SeU/21lRiHU8xY/1/P+T7aNOW5wbnzDFhfuyRP0SPzTh+Pp9GRMzIcSx4jz//ytfdbzFPXU75eRURccQ8zS4ZXmgf6P8YKtv585rPoSPGM+G62eG7xB3XemYAIyIGjAW7xdpdvg3DnJ//XVdeVxfkOL6p5iW6ez6fsgdteJQdNd2N+wVZnJGfhnMd5stKNvhyzMfwsMtfv13yrB37Qoau7NngvD5i1B/Izp2RqzyeKpkNHF+cL47Iuf12ya+HDTKokSrfepB1mpBfadhHg//O7pmIMqvDz/5V/mVDkiRJ0iq82ZAkSZK0Cm82JEmSJK3Cmw1JkiRJq/hyQDwtnweFl3sZEG8QiOHPzAg5T1MenloQtmoZkImIO/6/DH3td3lwh2VVY6WJ5oB/kzb5awYdTy9v2evlVoa8Tqc8pHRG+Ph2zcNXy5SH5poR4eZKSpFFNHsE73qEz1j09hjLUB0/63cFxM+v+fg1TT4ePyvH3wfGlJ/3dM5DXOdLHrS+YTzGsQzAJYTGWQjZoeCKRUjTexlOu/b8mfx3Amfs13lB8PajeMuihOiBEOeA12eE6nZfKDg8I6g+8vxGudwDDz1oihBoGXBl4O2ZiudbPBCQ7Mvzhz1/G4acNyiBXPjgg/w4n2ulXzPHFSWj2PAJDxjYVkKXDMfu9ignRLibD6eYKg/JaLeYQ4b8PW54MELbsgQrP772+3K7W+yj4wHnF+YU9MtFuy1//5bwO7nxFwOS/9XEQDOuZ6lSuMcxnBD2vOMa2ff5HNFjP/M6ERHFNY29a6koBM7/wQ3lehERr6d8fvxxyI+/dENYG0Hi2rV6wkMx0HdWBPB53jDQu1S+Pt3vCERjvNI1P6/40ByOTUTEBucWy5Kf5fKSzwl8UE6tnJEFjl2HkDRC0eOQn9M9zrW5UkC6xUMe+DWxSSy0zc+JO1ubI2LGNfQVc+7xnI/FHmW+RaNtlKWQDY6flwv+H9jOK67JLNyMiJhxjCbMHw2+DzMwzsLgiIgJJabzL5aa+pcNSZIkSavwZkOSJEnSKrzZkCRJkrSKL2c2NiiXYkHcVMkQsODm4z1fk5v+pWQuWGzXl/dGXCNPzI0MLJkZyp/vUJZ0wHpR9uklrLPcVtb9sizpfke5D9bGNhibnutea+vmuOYU48d4yg1j0XX5NkWURVHMvDwLtz3h4w+3cr38hGOjxRpIlk4+WEyG0iKWV0WU6ybHLt9PCWsgua41VTrq+o4lTlhXiXW+c4tiy2utcI/hgfyzv2A9boO1tgmfk+dVRMQO6z9blCtd+/z4Ov3Ix6LZlIOxRxnm35Xz9VkeOB56llpV8kx7nLcLCvR4XI/4fA1KDZtKAV9x2WSBI47BDY+FyjSw3eVr5huccCwCTNj3te3cbbmYGmunkRdgOeqCPEtRphoRA9Z4swzueLzgJ1Dq11Z+/5aYcfmeYknOdUV+ZynXiSfstwElcwnFmnxP5kTmyvp25ueWxALRz4vupkoB38c7gmd4zxb7gOVktQLgZf48H8HyPOYTmf+sXbx7rqsfeb3idiHHVMtsDBjPyj54hj9+f8teP3Ctqgx5vL3m51uH7z0jvmv1yF5ekYG5Vcqjt03+HnPgmrswe4M5+Vzux8PpLX+NPOLpnH+uBtfUShQ4DjieEgr0iuML+D1gV7lWtVtmlFHczOMP21k7b0acv7Wc81f4lw1JkiRJq/BmQ5IkSdIqvNmQJEmStIq0MHwhSZIkSf8D/7IhSZIkaRXebEiSJElahTcbkiRJklbhzYYkSZKkVXizIUmSJGkV3mxIkiRJWoU3G5IkSZJW4c2GJEmSpFV4syFJkiRpFf8A2XXigCjAR1UAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1000x800 with 10 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize the learned weights for each class.\n",
    "# Depending on your choice of learning rate and regularization strength, these may\n",
    "# or may not be nice to look at.\n",
    "w = best_svm.W[:-1,:] # strip out the bias\n",
    "w = w.reshape(32, 32, 3, 10)\n",
    "w_min, w_max = np.min(w), np.max(w)\n",
    "classes = ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\n",
    "for i in range(10):\n",
    "    plt.subplot(2, 5, i + 1)\n",
    "      \n",
    "    # Rescale the weights to be between 0 and 255\n",
    "    wimg = 255.0 * (w[:, :, :, i].squeeze() - w_min) / (w_max - w_min)\n",
    "    plt.imshow(wimg.astype('uint8'))\n",
    "    plt.axis('off')\n",
    "    plt.title(classes[i])"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "5740e847",
   "metadata": {
    "tags": [
     "pdf-inline"
    ]
   },
   "source": [
    "**Inline question 2**\n",
    "\n",
    "Describe what your visualized SVM weights look like, and offer a brief explanation for why they look the way they do.\n",
    "\n",
    "$\\color{blue}{\\textit Your Answer:}$ The visualized weights of each class roughly show the shape as well as the background color of the objects in that class. When an image has a shape or background color similar to that class, there is a high probability that it will be categorized as such. For example, boats, cars, frogs, etc.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2424f359",
   "metadata": {},
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "base",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
